CN113038426B - Internet of vehicles safety detection system and method - Google Patents
Internet of vehicles safety detection system and method Download PDFInfo
- Publication number
- CN113038426B CN113038426B CN202110221500.8A CN202110221500A CN113038426B CN 113038426 B CN113038426 B CN 113038426B CN 202110221500 A CN202110221500 A CN 202110221500A CN 113038426 B CN113038426 B CN 113038426B
- Authority
- CN
- China
- Prior art keywords
- vehicle
- information
- data management
- management node
- abnormal information
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
- H04W4/44—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H]
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/008—Registering or indicating the working of vehicles communicating information to a remotely located station
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/14—Relay systems
- H04B7/15—Active relay systems
- H04B7/185—Space-based or airborne stations; Stations for satellite systems
- H04B7/18502—Airborne stations
- H04B7/18504—Aircraft used as relay or high altitude atmospheric platform
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Astronomy & Astrophysics (AREA)
- Aviation & Aerospace Engineering (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention is suitable for the field of Internet of vehicles, provides a system and a method for detecting the safety of the Internet of vehicles, and the system for detecting the safety of the Internet of vehicles comprises the following components: the system comprises a vehicle end, a processing node and a mobile data management node; the vehicle end collects vehicle abnormal information and sends the vehicle abnormal information to the processing node through the movable data management node, the processing node processes the vehicle abnormal information to generate feedback information, and the feedback information is transferred through the movable data management node to be sent to the vehicle end; in the invention, the mobile data management node is introduced to transfer the information transmission between the vehicle end and the processing node, thereby shortening the distance of information transmission and ensuring the smoothness of information transmission.
Description
Technical Field
The invention belongs to the field of Internet of vehicles, and particularly relates to a system and a method for detecting the safety of the Internet of vehicles.
Background
The traditional car networking system consists of three parts, namely a vehicle-mounted terminal, a calculation processing platform and a data analysis platform. With the exponential increase of the calculation and storage of the car networking application, under the traditional 'end-management-cloud' basic architecture, each link is the key point of protection of information security, including all aspects such as control security, data security, network security and the like.
The existing technical scheme of the safety detection of the Internet of vehicles is that a terminal carries out identity verification, data sharing and safety monitoring are completed on a cloud data platform, key information of vehicle equipment is encrypted and transmitted, and safety problems such as illegal data tampering and sensitive information leakage are prevented.
According to the existing technical scheme of the safety detection of the internet of vehicles, the processing node and the vehicle terminal are far away from each other, and the problem of unsmooth signal transmission exists between the processing node and the vehicle terminal.
Disclosure of Invention
The embodiment of the invention aims to provide a vehicle networking safety detection system, and aims to solve the problem that signal transmission is not smooth between a processing node and an automobile terminal due to the fact that the distance between the processing node and the automobile terminal is long in the existing vehicle networking safety detection technical scheme.
The embodiment of the invention is realized in such a way, and the Internet of vehicles safety detection system is characterized by comprising the following components: the system comprises a vehicle end, a processing node and a mobile data management node;
the vehicle end is used for collecting vehicle abnormal information and sending the vehicle abnormal information to the processing node through the movable data management node;
the processing node is used for processing the vehicle abnormal information to generate feedback information, and transferring the feedback information through the movable data management node to send the feedback information to the vehicle end.
Another objective of the embodiments of the present invention is to provide another car networking safety detection system, which includes: a vehicle end and a mobile data management node;
the vehicle end is used for collecting vehicle abnormal information and sending the vehicle abnormal information to the movable data management node;
the movable data management node is used for processing the vehicle abnormal information to generate feedback information and sending the feedback information to the vehicle end.
Another object of the embodiments of the present invention is to provide a method for detecting security of internet of vehicles, including:
receiving identity information sent by an automobile end, and carrying out identity verification on the automobile end;
acquiring vehicle abnormal information of a vehicle end passing identity verification;
sending the vehicle abnormal information to a processing node for processing;
and acquiring feedback information generated by the processing node, and sending the feedback information to the vehicle end.
Another objective of an embodiment of the present invention is to provide another car networking security detection method, including:
receiving identity information sent by an automobile end, and carrying out identity verification on the automobile end;
acquiring vehicle abnormal information of a vehicle end passing identity authentication;
processing the vehicle abnormal information to generate feedback information;
and sending the feedback information to the vehicle end.
The embodiment of the invention provides a car networking safety detection system, which comprises: the system comprises a vehicle end, a processing node and a mobile data management node; the vehicle end collects vehicle abnormal information and sends the vehicle abnormal information to the processing node through the movable data management node, the processing node processes the vehicle abnormal information to generate feedback information, and the feedback information is transferred through the movable data management node to be sent to the vehicle end; in the embodiment, the mobile data management node is introduced to transfer the information transmission between the vehicle end and the processing node, so that the information transmission distance is shortened, and the information transmission smoothness is ensured.
Drawings
Fig. 1 is an application environment diagram of a car networking security detection system/method according to an embodiment of the present invention;
fig. 2 is a car networking safety detection system provided in an embodiment of the present invention;
FIG. 3 is a diagram of an application environment of another vehicle networking security detection system/method according to an embodiment of the present invention;
FIG. 4 is another Internet of vehicles security detection system provided by the embodiment of the invention;
fig. 5 is a flowchart of a security detection method for internet of vehicles according to an embodiment of the present invention;
FIG. 6 is a flowchart of another method for detecting security of a vehicle networking system according to an embodiment of the present invention;
fig. 7 is a block diagram of an internal structure of a computer device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and do not limit the invention.
Fig. 1 is an application environment diagram of a car networking security detection system provided in an embodiment of the present invention, as shown in fig. 1, in the application environment, a vehicle 110, a server 120, and an unmanned aerial vehicle 130 are included;
the vehicle 110 may be a car, a truck, a bus, or other types of vehicles, and is not limited in particular, and the vehicle is equipped with a vehicle processing system, which can collect and process vehicle information of the vehicle, and transmit the vehicle information to an external device.
The server 120 serves as a processing node for processing the vehicle information, and the server 120 may be an independent physical server or terminal, may be a server cluster composed of a plurality of physical servers, and may be a cloud server providing basic cloud computing services such as a cloud server, a cloud database, a cloud storage, and a CDN.
The unmanned aerial vehicle 130 is loaded with a movable data management node for processing and/or relaying the vehicle information, and the movable data management node moves along with the movement of the unmanned aerial vehicle 130.
Fig. 2 is a car networking safety detection system provided in an embodiment of the present invention, and for convenience of description, only parts related to the embodiment of the present invention are shown.
In an embodiment of the present invention, the car networking safety detection system includes: a vehicle end 201, a processing node 202, and a mobile data management node 203;
the vehicle end 201 is used for collecting vehicle abnormal information and sending the vehicle abnormal information to the processing node 202 through the movable data management node 203;
the processing node 202 is configured to process the vehicle abnormal information to generate feedback information, and relay the feedback information through the mobile data management node 203 to send the feedback information to the vehicle end 201.
In the prior art, a vehicle end exchanges information with a processing center at a fixed position, but because the position of the vehicle end 201 is uncertain, but when the distance between the vehicle end and the processing center is long, the problem that information signals between the vehicle end and the processing center cannot be transmitted or the signals are lost in a long-distance transmission process may occur; in this embodiment, the mobile data management node 203 receives the information 201 sent by the vehicle, and then forwards the information to the processing node 202 for processing, and if necessary, for example, the mobile data management node 203 is far away from the processing node, the mobile data management node 203 may first move to the vicinity of the processing node 202 and then perform information transmission with the processing node 202, that is, the mobile data management node 203 may transfer the information transmission between the processing nodes 202, thereby shortening the distance of information transmission and ensuring the smoothness of information transmission.
As a possible embodiment of the present invention, the mobile data management node 203 is responsible for data processing and transfer of the vehicle end 201 within a specified area;
in this embodiment, the designated area range may be a prefecture of a town, a prefecture of a county, or a prefecture of a city, which is not specifically limited herein; the specified area range is determined according to the data transmission distance ranges of the movable data management nodes and the processing nodes and the specific distribution positions of the processing nodes; a hash calculation algorithm is arranged in the movable data management node 203; the movable data management node 203 acquires identity information of the vehicle end 201 in the covered area, hashes the identity information through a processing device to form a binary data vector, and hashes the binary data vector through a hash calculation algorithm; if the hash calculation algorithm result is correct, the vehicle end 201 passes the identity verification, and the mobile data management node 203 receives vehicle abnormal information; if the hash calculation algorithm result is an error, the vehicle end 201 fails to pass the authentication, and the mobile data management node 203 does not receive the vehicle abnormal information.
The vehicle end 201 is provided with a vehicle normal behavior model base and a vehicle abnormal behavior model base, and is used for comparing real-time vehicle behaviors, obtaining first vehicle abnormal information, and sending the first vehicle abnormal information to the movable data management node 203;
in this embodiment, the vehicle end 201 is provided with a hidden markov algorithm, and the hidden markov algorithm is used to perform calculation simulation on behavior information of the vehicle under multiple scenes such as driving, braking, stopping and the like, so as to establish a vehicle normal behavior model base and a vehicle abnormal behavior model base; the real-time vehicle behavior is compared with the vehicle behavior in the model base to judge whether the real-time vehicle behavior is abnormal vehicle behavior, and only the vehicle behavior judged to be abnormal is sent to the movable data management node 203 as the first vehicle abnormal information, so that the initial screening of the vehicle information is realized, the information transmission amount is reduced, and the information transmission pressure of each end is relieved.
The mobile data management node 203 is further provided with a traffic environment identifier for identifying traffic environment information where the vehicle end 201 is located, the mobile data management node 203 judges the first vehicle abnormal information by combining the traffic environment information to obtain second vehicle abnormal information, and the mobile data management node 203 sends the second vehicle abnormal information to the processing node 202;
in this embodiment, the traffic environment identifier may be a traffic camera, and may also be other types of identification devices, which is an optional implementation manner and is not limited specifically herein; the traffic environment information includes speed limit information, lane restriction information, traffic light information or other types of traffic environment information, and is not specifically limited herein; in the embodiment, the first vehicle abnormal information is further judged by combining the traffic environment information, and the abnormal vehicle behavior is further accurately screened, namely the second vehicle abnormal information.
As a possible embodiment of the present invention, the system for detecting security of internet of vehicles further includes a scheduler, where the scheduler is configured to detect a load condition of each processing node 202, to determine the processing node 202 in an idle state, and to distribute the second vehicle abnormal information to the processing node 202 in the idle state;
in this embodiment, the scheduler may be disposed in the portable data management node 203 and in signal communication with each processing node 202; or the scheduler is connected with each processing node 202 in a wired mode and is in signal connection with the movable data management node 203; through the setting of the scheduler, the second vehicle abnormal information can be distributed to the idle processing nodes 202 for processing, so that the load balance of each processing node 202 is ensured, and the continuous and stable operation of the processing nodes 202 is further ensured.
As a possible embodiment of the present invention, the processing node 202 is configured to:
comparing each second vehicle abnormal information with a corresponding vehicle state parameter threshold;
determining second vehicle abnormal information exceeding the vehicle state parameter threshold value as target abnormal information, and further matching the target abnormal information with data in a vehicle abnormal coping scheme database to derive coping scheme information, namely feedback information, aiming at the target abnormal information;
the processing node 202 is further provided with an encryptor for encrypting the feedback information generated by the processing node 202;
in this embodiment, the vehicle state parameter threshold includes a vehicle speed parameter threshold, a steering angle parameter threshold, a driving track parameter threshold, and other types of vehicle state parameter thresholds, which are not specifically limited herein; the vehicle abnormality coping scheme database is provided with a plurality of vehicle abnormal behavior items such as overspeed driving, steering angle abnormality, braking abnormality and the like, which are not specifically limited, and each abnormal behavior item is also provided with sub-items, such as sub-items of ' 10km/h over speed ', ' 20km/h over speed and the like, which are not specifically limited; in addition, corresponding scheme information is correspondingly arranged for each sub-item, for example, corresponding scheme information is correspondingly arranged for 'speeding up by 10 km/h' of the sub-item and 'slowing down by at least 10 km/h'; taking the vehicle speed parameter threshold as an example, the vehicle speed parameter threshold can be divided into a highway vehicle speed parameter threshold, a national road vehicle speed parameter threshold, a provincial road vehicle speed parameter threshold, and the like, for example, the highway vehicle speed parameter threshold is 120km/h, if the current vehicle speed is displayed in the second vehicle abnormal information is 130km/h, the second vehicle abnormal information is determined as target abnormal information, the target abnormal information is further matched with a vehicle abnormal behavior sub-entry of '10 km/h over speed' in the vehicle abnormal handling scheme database, and then the handling scheme information 'at least 10km/h of deceleration' corresponding to the vehicle abnormal behavior sub-entry is derived as feedback information.
As a possible embodiment of the present invention, a decryptor is disposed in the mobile data management node 203, and is configured to verify and decrypt the encrypted feedback information;
the mobile data management node 203 is further provided with an aggregator for aggregating a plurality of feedback information;
if the mobile data management node 203 receives the single feedback information, sending the single feedback information to the vehicle end 201;
if the mobile data management node 203 receives and receives a plurality of pieces of feedback information belonging to the same vehicle end 201 at the same time, the plurality of pieces of feedback information are aggregated into an integral piece of feedback information by the aggregator, and then the integral piece of feedback information is sent to the vehicle end 201;
in this embodiment, the decryptor cooperates with the encryptor in the processing node 202, the encryptor encrypts the feedback information by using an encryption algorithm, and applies a unique identification to the encrypted feedback information, wherein the identification is generated by the decryptor and sent to the encryptor, and the decryptor includes an authentication identification uniquely corresponding to each sent identification; when the encrypted feedback information is sent to the movable data management node 203, the decryptor matches the authentication identifier with the identity identifier of the feedback information, and then decrypts the decryptor which is successfully matched; moreover, the feedback information is aggregated into a whole feedback information through the aggregator, for example, the mobile data management node receives two pieces of feedback information of 'deceleration 10 km/h' lane change driving ', the two pieces of feedback information are aggregated into' deceleration 10km/h 'lane change driving' through the aggregator, and one piece of feedback information of lane change driving is obtained, so that the effect of adjusting abnormal behaviors of a plurality of vehicles through one piece of feedback information is realized, and the vehicle end can timely cope with the vehicle abnormality.
Fig. 3 is a diagram of an application environment of a security detection system in a car networking system according to an embodiment of the present invention, as shown in fig. 3, in the application environment, a vehicle 310 and an unmanned aerial vehicle 320 are included;
the vehicle 310 may be a car, a truck, a bus, or other types of vehicles, and is not limited to this, and the vehicle is equipped with a vehicle processing system, which can collect and process its own vehicle information, and transmit the vehicle information to an external device.
The unmanned aerial vehicle 320 is loaded with a mobile data management node for processing and/or relaying vehicle information, and the mobile data management node moves along with the movement of the unmanned aerial vehicle 320.
Fig. 4 is another car networking safety detection system provided in the embodiment of the present invention, and for convenience of description, only parts related to the embodiment of the present invention are shown.
In an embodiment of the present invention, the car networking safety detection system includes: a vehicle end 401 and a mobile data management node 402;
the vehicle end 401 is configured to collect vehicle abnormal information and send the vehicle abnormal information to the mobile data management node 402;
the movable data management node 402 is configured to process the vehicle abnormal information to generate feedback information, and send the feedback information to the vehicle end 401;
in the prior art, a vehicle end exchanges information with a processing center at a fixed position, but because the position of the processing center is fixed, the range covered by information transmission is small, and because of the mobility of the vehicle end, the vehicle end is easy to be separated from the information transmission coverage range of the processing center in the moving process, thereby causing the problem that information signals cannot be transmitted; this embodiment carries out information transfer through portable data management node and vehicle end, because portable data management node has the mobility equally, it accessible self removes and keeps reasonable distance with the vehicle end after establishing the contact with the vehicle end, and then guarantees the quality and the patency of information transfer between the two.
As a possible embodiment of the present invention, the mobile data management node 402 is responsible for data processing of the vehicle end 401 in a designated area;
in this embodiment, the designated area range may be a district of a town, a district of a county, or a district of a city, and is not specifically limited herein; the designated area range is determined according to the transmission distance range of the movable data management node and the vehicle end; a hash calculation algorithm is arranged in the mobile data management node 402; the mobile data management node 402 acquires identity information of the vehicle end 401 in the covered area, hashes the identity information through a processing device to form a binary data vector, and hashes the binary data vector through a hash calculation algorithm; if the hash calculation algorithm result is correct, the vehicle end 401 passes identity verification, and the mobile data management node 402 receives vehicle abnormal information; if the hash calculation algorithm result is wrong, the vehicle end 401 does not pass the identity verification, and the mobile data management node 402 does not receive the vehicle abnormal information;
the vehicle end 401 is provided with a vehicle normal behavior model library and a vehicle abnormal behavior model library, and is used for comparing vehicle behaviors to determine first vehicle abnormal information and sending the first vehicle abnormal information to the movable data management node 402;
in this embodiment, a hidden markov algorithm is provided in the vehicle end 401, and the behavior information of the vehicle under multiple scenes such as driving, braking, stopping and the like is calculated and simulated through the hidden markov algorithm, so as to establish a vehicle normal behavior model base and a vehicle abnormal behavior model base; the real-time vehicle behavior is compared with the vehicle behavior in the model base to judge whether the real-time vehicle behavior is abnormal vehicle behavior, and only the vehicle behavior judged to be abnormal is sent to the movable data management node 402 as first vehicle abnormal information, so that the initial screening of the vehicle information is realized, the information transmission amount is reduced, and the information transmission pressure of each end is relieved;
the mobile data management node 402 is further provided with a traffic environment identifier for identifying traffic environment information where the vehicle end 401 is located, and the mobile data management node 402 determines the first vehicle abnormal information by combining the traffic environment information to obtain second vehicle abnormal information and processes the second vehicle abnormal information;
in this embodiment, the traffic environment identifier may be a traffic camera, and may also be other types of identification devices, which is an optional implementation manner and is not limited specifically herein; the traffic environment information includes speed limit information, lane restriction information, traffic light information or other types of traffic environment information, and is not specifically limited herein; in the embodiment, the first vehicle abnormal information is further determined by combining the traffic environment information, and the abnormal vehicle behavior is further accurately screened out, namely, the second vehicle abnormal information.
As a possible embodiment of the present invention, the movable data management node 402 compares each of the second vehicle abnormality information with each of vehicle state parameter thresholds, determines the second vehicle abnormality information exceeding the vehicle state parameter threshold as target abnormality information, and further matches the target abnormality information with data in a vehicle abnormality coping plan database to derive coping plan information, that is, feedback information, including the target abnormality information;
in this embodiment, the vehicle state parameter threshold includes a vehicle speed parameter threshold, a steering angle parameter threshold, a driving track parameter threshold, and other types of vehicle state parameter thresholds, which are not specifically limited herein; the vehicle abnormality coping scheme database is provided with a plurality of vehicle abnormal behavior items such as overspeed driving, steering angle abnormality, braking abnormality and the like, which are not specifically limited, and each abnormal behavior item is also provided with sub items, such as sub items of '10 km/h over speed', '20 km/h over speed' and the like, which are not specifically limited; in addition, corresponding scheme information is correspondingly arranged for each sub-item, for example, corresponding scheme information is correspondingly arranged for 'speeding up by 10 km/h' of the sub-item and 'slowing down by at least 10 km/h'; taking a vehicle speed parameter threshold as an example, the vehicle speed parameter threshold can be divided into a highway vehicle speed parameter threshold, a national road vehicle speed parameter threshold, a provincial road vehicle speed parameter threshold and the like, for example, the highway vehicle speed parameter threshold is 120km/h, if the second vehicle abnormal information shows that the current vehicle speed is 130km/h, the second vehicle abnormal information is determined as target abnormal information, the target abnormal information is matched with a vehicle abnormal behavior sub-entry which 'exceeds 10 km/h' in a vehicle abnormal coping scheme database, and coping scheme information 'decelerates by at least 10 km/h' corresponding to the vehicle abnormal behavior sub-entry is derived as feedback information;
the mobile data management node 402 is further provided with an aggregator for aggregating a plurality of feedback information;
if the mobile data management node outputs single feedback information, the single feedback information is sent to the vehicle end 401;
if the mobile data management node 402 simultaneously outputs a plurality of pieces of feedback information belonging to the same vehicle end 401, aggregating the plurality of pieces of feedback information into an integral piece of feedback information through the aggregator, and then sending the integral piece of feedback information to the vehicle end 401;
in this embodiment, a plurality of feedback information are aggregated into a whole feedback information through the aggregator, for example, the mobile data management node 402 outputs two pieces of feedback information of ' deceleration 10km/h ″ lane change driving ', the two pieces of feedback information are aggregated into ' deceleration 10km/h ' lane change driving ' through the aggregator, and one piece of feedback information of lane change driving is obtained, so that an effect of adjusting abnormal behaviors of a plurality of vehicles through one piece of feedback information is realized, and the vehicle end 401 can timely cope with vehicle abnormality.
Fig. 1 is an application environment diagram of a security detection method in a car networking system according to an embodiment of the present invention, as shown in fig. 1, in the application environment, a vehicle 110, a server 120, and an unmanned aerial vehicle 130 are included;
the vehicle 110 may be a car, a truck, a bus, or another type of vehicle, and is not limited to this, and a vehicle processing system is mounted in the vehicle, and may collect and process vehicle information of the vehicle, and transmit the vehicle information to an external device.
The server 120 serves as a processing node for processing the vehicle information, and the server 120 may be an independent physical server or terminal, may be a server cluster composed of a plurality of physical servers, and may be a cloud server providing basic cloud computing services such as a cloud server, a cloud database, a cloud storage, and a CDN.
The unmanned aerial vehicle 130 is loaded with a movable data management node for processing and/or relaying the vehicle information, and the movable data management node moves along with the movement of the unmanned aerial vehicle 130.
Fig. 5 is a flowchart of a security detection method for a vehicle networking according to an embodiment of the present invention, and for convenience of description, only a part related to the embodiment of the present invention is shown.
In an embodiment of the invention, a method for detecting the safety of the Internet of vehicles comprises the following steps:
step S502, receiving identity information sent by an automobile end, and carrying out identity verification on the automobile end;
step S504, obtaining vehicle abnormal information of the vehicle end passing the identity verification;
and S506, sending the vehicle abnormal information to a processing node for processing so as to generate feedback information.
And step S508, acquiring the feedback information generated by the processing node, and sending the feedback information to the vehicle end.
In the present embodiment, for step S502, the portable data management node is responsible for data processing and relay at the vehicle end within the designated area;
the designated area range may be a district of a town, a district of a county, or a district of a city, and is not particularly limited herein; the designated area range is determined according to the data transmission distance ranges of the movable data management nodes and the processing nodes and the specific distribution positions of the processing nodes;
a Hash calculation algorithm is arranged in the movable data management node; the mobile data management node acquires identity information of a vehicle end in a covered area, hashes the identity information through a processing device to form a binary data vector, and hashes the binary data vector through a hash calculation algorithm; if the Hash calculation algorithm result is correct, the vehicle end passes the identity verification, and the mobile data management node receives vehicle abnormal information; if the hash calculation algorithm result is wrong, the vehicle end fails in identity verification, and the mobile data management node does not receive vehicle abnormal information.
For step S504, a vehicle normal behavior model library and a vehicle abnormal behavior model library are provided in the vehicle end, and are used for comparing the real-time vehicle behavior, obtaining first vehicle abnormal information, and sending the first vehicle abnormal information to the mobile data management node;
the vehicle end is internally provided with a hidden Markov algorithm, and the behavior information of the vehicle under a plurality of scenes such as driving, braking, stopping and the like is calculated and simulated through the hidden Markov algorithm, so that a vehicle normal behavior model base and a vehicle abnormal behavior model base are established; the real-time vehicle behaviors are compared with the vehicle behaviors in the model base to judge whether the real-time vehicle behaviors are abnormal vehicle behaviors or not, and only the vehicle behaviors judged to be abnormal are sent to the movable data management node as first vehicle abnormal information, so that the preliminary screening of the vehicle information is realized, the information transmission quantity is reduced, and the information transmission pressure of each end is relieved.
The movable data management node is also provided with a traffic environment identifier for identifying traffic environment information of the vehicle end, the movable data management node judges the first vehicle abnormal information by combining the traffic environment information to obtain second vehicle abnormal information, and the movable data management node sends the second vehicle abnormal information to the processing node;
the traffic environment identifier may be a traffic camera, or may be other types of identification devices, which is an optional embodiment and is not specifically limited herein; the traffic environment information includes speed limit information, lane restriction information, traffic light information or other types of traffic environment information, which is not specifically limited herein; in the embodiment, the first vehicle abnormal information is further determined by combining the traffic environment information, and the abnormal vehicle behavior is further accurately screened out, namely, the second vehicle abnormal information.
The safety detection system of the internet of vehicles further comprises a scheduler, wherein the scheduler is used for detecting the load condition of each processing node so as to determine the processing node in an idle state and distributing the second vehicle abnormal information to the processing node in the idle state;
the scheduler can be arranged on the movable data management node and is in signal connection with each processing node; or the scheduler is in wired connection with each processing node and is in signal connection with the movable data management node; through the setting of the scheduler, the second vehicle abnormal information can be distributed to the idle processing nodes for processing, the load balance of each processing node is ensured, and the continuous and stable operation of the processing nodes is further ensured.
For step S506, the processing node is configured to:
comparing each second vehicle abnormal information with a corresponding vehicle state parameter threshold;
determining second vehicle abnormal information exceeding the vehicle state parameter threshold value as target abnormal information, and further matching the target abnormal information with data in a vehicle abnormal coping scheme database to derive coping scheme information, namely feedback information, aiming at the target abnormal information;
the processing node is also provided with an encryptor for encrypting the feedback information generated by the processing node;
the vehicle state parameter threshold includes a vehicle speed parameter threshold, a steering angle parameter threshold, a driving track parameter threshold and other types of vehicle state parameter thresholds, which are not specifically limited herein; the vehicle abnormality coping scheme database is provided with a plurality of vehicle abnormal behavior items such as overspeed driving, steering angle abnormality, braking abnormality and the like, which are not specifically limited, and each abnormal behavior item is also provided with sub items, such as sub items of '10 km/h over speed', '20 km/h over speed' and the like, which are not specifically limited; in addition, corresponding scheme information is correspondingly arranged for each sub-entry, for example, corresponding scheme information is correspondingly arranged for 'speeding up by 10 km/h' for the sub-entry and 'slowing down by at least 10 km/h'; taking the vehicle speed parameter threshold as an example, the vehicle speed parameter threshold can be divided into a highway vehicle speed parameter threshold, a national road vehicle speed parameter threshold, a provincial road vehicle speed parameter threshold, and the like, for example, the highway vehicle speed parameter threshold is 120km/h, if the current vehicle speed is displayed in the second vehicle abnormal information is 130km/h, the second vehicle abnormal information is determined as target abnormal information, the target abnormal information is further matched with a vehicle abnormal behavior sub-entry of '10 km/h over speed' in the vehicle abnormal handling scheme database, and then the handling scheme information 'at least 10km/h of deceleration' corresponding to the vehicle abnormal behavior sub-entry is derived as feedback information.
For step S508, a decryptor is disposed in the mobile data management node, and is configured to verify and decrypt the encrypted feedback information;
the movable data management node is also provided with an aggregator for aggregating a plurality of feedback information;
if the mobile data management node receives the single feedback information, the single feedback information is sent to the vehicle end;
if the movable data management node receives and receives a plurality of pieces of feedback information belonging to the same vehicle end at the same time, the aggregator aggregates the plurality of pieces of feedback information into integral feedback information, and then sends the integral feedback information to the vehicle end;
in the embodiment, the decryptor and the encryptor in the processing node cooperate to work, the encryptor encrypts the feedback information by adopting an encryption algorithm and applies a unique identity to the encrypted feedback information, wherein the identity is generated by the decryptor and sent to the encryptor, and the decryptor comprises an authentication identity uniquely corresponding to each sent identity; when the encrypted feedback information is sent to the movable data management node, the decryptor matches the authentication identifier with the identity identifier of the feedback information, and then decrypts the decryptor which is successfully matched; moreover, a plurality of feedback information are aggregated into a whole feedback information through the aggregator, for example, a movable data management node receives two pieces of feedback information of 'deceleration 10 km/h' lane change driving 'at the same time, the feedback information is aggregated into' deceleration 10km/h 'lane change driving' through the aggregator, and one piece of feedback information is obtained through lane change driving, so that the effect of adjusting abnormal behaviors of a plurality of vehicles through one piece of feedback information is realized, and the vehicle end can timely cope with vehicle abnormality.
In this embodiment, the information 201 sent by the vehicle end is received by the movable data management node 203, and then the information is forwarded to the processing node 202 for processing, if necessary, for example, the movable data management node 203 is far away from the processing node, the movable data management node 203 may move to the vicinity of the processing node 202 and then perform information transmission with the processing node 202, that is, the movable data management node 203 may transfer the information transmission between the processing nodes 202, so as to shorten the distance of information transmission, ensure the smoothness of information transmission, and solve the problem in the prior art that when the distance between the vehicle end and the processing center is far, the information signal between the vehicle end and the processing center may not be transmitted, or the signal is lost in the process of long-distance transmission.
Fig. 3 is an application environment diagram of a security detection method for internet of vehicles according to an embodiment of the present invention, as shown in fig. 3, in the application environment, a vehicle 310 and an unmanned aerial vehicle 320 are included;
the vehicle 310 may be a car, a truck, a bus, or other types of vehicles, and is not limited to this, and the vehicle is equipped with a vehicle processing system, which can collect and process its own vehicle information, and transmit the vehicle information to an external device.
The unmanned aerial vehicle 320 is loaded with a mobile data management node for processing and/or relaying vehicle information, and the mobile data management node moves along with the movement of the unmanned aerial vehicle 320.
Fig. 6 is another car networking security detection method provided by the embodiment of the present invention, and for convenience of description, only parts related to the embodiment of the present invention are shown.
In an embodiment of the invention, a method for detecting the safety of the Internet of vehicles comprises the following steps:
step S602, receiving identity information sent by an automobile end, and carrying out identity verification on the automobile end;
step S604, obtaining vehicle abnormal information of the vehicle end passing the identity authentication;
step S606, processing the vehicle abnormal information to generate feedback information;
and step S608, sending the feedback information to the vehicle end.
In the present embodiment, for step S602, the portable data management node is responsible for data processing on the vehicle side within the designated area;
the designated area range may be a district of a town, a district of a county, or a district of a city, and is not particularly limited herein; the designated area range is determined according to the data transmission distance ranges of the movable data management nodes and the processing nodes and the specific distribution positions of the processing nodes;
a Hash calculation algorithm is arranged in the movable data management node; the mobile data management node acquires identity information of a vehicle end in a covered area, hashes the identity information through a processing device to form a binary data vector, and hashes the binary data vector through a hash calculation algorithm; if the Hash calculation algorithm result is correct, the vehicle end passes the identity verification, and the mobile data management node receives vehicle abnormal information; if the hash calculation algorithm result is wrong, the vehicle end fails in identity verification, and the mobile data management node does not receive vehicle abnormal information.
For step S602, a vehicle normal behavior model library and a vehicle abnormal behavior model library are provided in the vehicle end, and are used to compare vehicle behaviors to determine first vehicle abnormal information, and send the first vehicle abnormal to the mobile data management node;
the vehicle end is provided with a hidden Markov algorithm, and the behavior information of the vehicle under a plurality of scenes such as driving, braking, stopping and the like is calculated and simulated through the hidden Markov algorithm, so that a vehicle normal behavior model base and a vehicle abnormal behavior model base are established; the real-time vehicle behaviors are compared with the vehicle behaviors in the model base to judge whether the real-time vehicle behaviors are abnormal vehicle behaviors or not, and only the vehicle behaviors judged to be abnormal are sent to the mobile data management node as first vehicle abnormal information, so that the preliminary screening of the vehicle information is realized, the information transmission quantity is reduced, and the information transmission pressure of each end is relieved;
the movable data management node is also provided with a traffic environment identifier for identifying traffic environment information of the vehicle end, and the movable data management node judges the first vehicle abnormal information by combining the traffic environment information to obtain second vehicle abnormal information and processes the second vehicle abnormal information;
the traffic environment identifier may be a traffic camera, and may also be other types of identification devices, which is an optional implementation manner and is not limited in detail herein; the traffic environment information includes speed limit information, lane restriction information, traffic light information or other types of traffic environment information, which is not specifically limited herein; in the embodiment, the first vehicle abnormal information is further determined by combining the traffic environment information, and the abnormal vehicle behavior is further accurately screened out, namely, the second vehicle abnormal information.
For step S606, the mobile data management node compares each second vehicle abnormal information with each vehicle state parameter threshold, determines the second vehicle abnormal information exceeding the vehicle state parameter threshold as target abnormal information, and further matches the target abnormal information with data in a vehicle abnormal handling scheme database to derive handling scheme information, that is, feedback information, including the target abnormal information;
the vehicle state parameter threshold includes a vehicle speed parameter threshold, a steering angle parameter threshold, a driving track parameter threshold and other types of vehicle state parameter thresholds, which are not specifically limited herein; the vehicle abnormality coping scheme database is provided with a plurality of vehicle abnormal behavior items such as overspeed driving, steering angle abnormality, braking abnormality and the like, which are not specifically limited, and each abnormal behavior item is also provided with sub-items, such as sub-items of ' 10km/h over speed ', ' 20km/h over speed and the like, which are not specifically limited; in addition, corresponding scheme information is correspondingly arranged for each sub-entry, for example, corresponding scheme information is correspondingly arranged for 'speeding up by 10 km/h' for the sub-entry and 'slowing down by at least 10 km/h'; taking the vehicle speed parameter threshold as an example, the vehicle speed parameter threshold can be divided into a highway vehicle speed parameter threshold, a national road vehicle speed parameter threshold, a provincial road vehicle speed parameter threshold, and the like, for example, the highway vehicle speed parameter threshold is 120km/h, if the current vehicle speed is displayed in the second vehicle abnormal information is 130km/h, the second vehicle abnormal information is determined as target abnormal information, the target abnormal information is further matched with a vehicle abnormal behavior sub-entry of '10 km/h over speed' in the vehicle abnormal handling scheme database, and then the handling scheme information 'at least 10km/h of deceleration' corresponding to the vehicle abnormal behavior sub-entry is derived as feedback information.
For step S608, an aggregator is further disposed in the mobile data management node, and configured to aggregate the plurality of feedback information;
if the mobile data management node outputs single feedback information, the single feedback information is sent to the vehicle end;
if the movable data management node simultaneously outputs a plurality of pieces of feedback information belonging to the same vehicle end, aggregating the plurality of pieces of feedback information into an integral piece of feedback information through the aggregator, and sending the integral piece of feedback information to the vehicle end;
the feedback information is aggregated into a whole through the aggregator, for example, the movable data management node outputs two pieces of feedback information of 'deceleration 10 km/h' 'lane change driving', the aggregator aggregates the feedback information into 'deceleration 10 km/h', and the aggregator drives 'one piece of feedback information for lane change driving', so that the effect of adjusting abnormal behaviors of a plurality of vehicles through one piece of feedback information is realized, and the vehicle end can timely cope with the vehicle abnormality.
In this embodiment, carry out information transfer through portable data management node and vehicle end, because portable data management node has the mobility equally, it accessible self removes and keeps reasonable distance with the vehicle end after establishing the contact with the vehicle end, and then guarantees the quality and the patency of information transfer between the two, has solved that processing center information transfer coverage is little, and then leads to the problem that can't convey with portable vehicle end information signal.
In one embodiment, a computer device is proposed, the computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
receiving identity information sent by an automobile end, and carrying out identity verification on the automobile end;
acquiring vehicle abnormal information of a vehicle end passing identity authentication;
sending the vehicle abnormal information to a processing node for processing;
and acquiring feedback information generated by the processing node, and sending the feedback information to the vehicle end.
Or the following steps:
receiving identity information sent by an automobile end, and carrying out identity verification on the automobile end;
acquiring vehicle abnormal information of a vehicle end passing identity authentication;
processing the vehicle abnormal information to generate feedback information;
and sending the feedback information to the vehicle end.
The computer equipment further comprises a network interface, an input device and a display screen. Wherein the memory includes a non-volatile storage medium and an internal memory. The nonvolatile storage medium of the computer device stores an operating system and also stores a computer program, and when the computer program is executed by the processor, the computer program can enable the processor to realize the Internet of vehicles safety detection method. The internal memory may also have a computer program stored therein, which when executed by the processor, causes the processor to perform the internet of vehicles security detection method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on a shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 7 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer readable storage medium is provided, having a computer program stored thereon, which, when executed by a processor, causes the processor to perform the steps of:
receiving identity information sent by an automobile end, and carrying out identity verification on the automobile end;
acquiring vehicle abnormal information of a vehicle end passing identity authentication;
sending the vehicle abnormal information to a processing node for processing;
and acquiring feedback information generated by the processing node, and sending the feedback information to the vehicle end.
Or the following steps:
receiving identity information sent by an automobile end, and carrying out identity verification on the automobile end;
acquiring vehicle abnormal information of a vehicle end passing identity verification;
processing the vehicle abnormal information to generate feedback information;
and sending the feedback information to the vehicle end.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of steps in various embodiments may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed alternately or alternatingly with other steps or at least a portion of sub-steps or stages of other steps.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not limited to being performed in the exact order illustrated and, unless explicitly stated herein, may be performed in other orders. Moreover, at least a portion of the steps in various embodiments may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
All possible combinations of the technical features of the above embodiments may not be described for the sake of brevity, but should be considered as within the scope of the present disclosure as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that various changes and modifications can be made by those skilled in the art without departing from the spirit of the invention, and these changes and modifications are all within the scope of the invention. Therefore, the protection scope of the present patent should be subject to the appended claims.
The above description is intended to be illustrative of the preferred embodiment of the present invention and should not be taken as limiting the invention, but rather, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the invention.
Claims (7)
1. The utility model provides a car networking safety detection system which characterized in that includes: the system comprises a vehicle end, a processing node and a mobile data management node;
the vehicle end is used for collecting vehicle abnormal information and sending the vehicle abnormal information to the processing node through the movable data management node;
the processing node is used for processing the vehicle abnormal information to generate feedback information, and transferring the feedback information through the movable data management node to send the feedback information to the vehicle end;
the mobile data management node is responsible for data processing and transfer of a vehicle end in a designated area range;
the vehicle end is internally provided with a vehicle normal behavior model library and a vehicle abnormal behavior model library and is used for comparing real-time vehicle behaviors to determine first vehicle abnormal information and sending the first vehicle abnormal information to the movable data management node;
the movable data management node is also provided with a traffic environment identifier for identifying traffic environment information of the vehicle end, the movable data management node judges the first vehicle abnormal information by combining the traffic environment information to obtain second vehicle abnormal information, and the movable data management node sends the second vehicle abnormal information to the processing node;
the processing node is configured to: comparing each second vehicle abnormal information with a corresponding vehicle state parameter threshold; and determining second vehicle abnormal information exceeding the vehicle state parameter threshold value as target abnormal information, and further matching the target abnormal information with data in a vehicle abnormal handling scheme database to derive handling scheme information, namely feedback information, aiming at the target abnormal information.
2. The networked vehicle security detection system of claim 1, further comprising a scheduler configured to detect a load condition of each processing node, to determine a processing node in an idle state, and to distribute the second vehicle anomaly information to the processing node in the idle state.
3. The Internet of vehicles safety detection system of claim 1, wherein the processing node is further provided with an encryptor for encrypting the feedback information generated by the processing node.
4. The Internet of vehicles safety detection system of claim 3, wherein the mobile data management node is provided with a decryptor for verifying and decrypting the encrypted feedback information;
the movable data management node is also provided with an aggregator for aggregating a plurality of feedback information;
if the mobile data management node receives the single feedback information, the single feedback information is sent to the vehicle end;
if the movable data management node receives a plurality of pieces of feedback information belonging to the same vehicle end at the same time, the aggregator aggregates the plurality of pieces of feedback information into an integral piece of feedback information, and then sends the integral piece of feedback information to the vehicle end.
5. The utility model provides a car networking safety detection system which characterized in that includes: a vehicle end and a mobile data management node;
the vehicle end is used for collecting vehicle abnormal information and sending the vehicle abnormal information to the movable data management node;
the movable data management node is used for processing the vehicle abnormal information to generate feedback information and sending the feedback information to the vehicle end;
the movable data management node is responsible for data processing of a vehicle end in a designated area range;
the vehicle end is provided with a vehicle normal behavior model library and a vehicle abnormal behavior model library, and is used for comparing vehicle behaviors to determine first vehicle abnormal information and sending the first vehicle abnormal information to the movable data management node;
the movable data management node is also provided with a traffic environment identifier for identifying traffic environment information of the vehicle end, and the movable data management node judges the first vehicle abnormity in combination with the traffic environment information to obtain second vehicle abnormity information and processes the second vehicle abnormity information;
the movable data management node compares each second vehicle abnormal information with each vehicle state parameter threshold, determines the second vehicle abnormal information exceeding the vehicle state parameter threshold as target abnormal information, and further matches the target abnormal information with data in a vehicle abnormal coping scheme database to derive coping scheme information, namely feedback information, aiming at the target abnormal information;
if the mobile data management node outputs single feedback information, the single feedback information is sent to the vehicle end;
if the movable data management node simultaneously outputs a plurality of pieces of feedback information belonging to the same vehicle end, the feedback information is aggregated into an integral piece of feedback information through an aggregator, and then the integral piece of feedback information is sent to the vehicle end.
6. The Internet of vehicles safety detection method is characterized by comprising the following steps:
receiving identity information sent by an automobile end, and carrying out identity verification on the automobile end;
acquiring vehicle abnormal information of a vehicle end passing identity authentication;
sending the vehicle abnormal information to a processing node for processing;
acquiring feedback information generated by a processing node, and sending the feedback information to the vehicle end;
the vehicle end is used for collecting vehicle abnormal information and sending the vehicle abnormal information to the processing node through the movable data management node;
the processing node is used for processing the vehicle abnormal information to generate feedback information, and transferring the feedback information through the movable data management node to send the feedback information to the vehicle end;
the mobile data management node is responsible for data processing and transfer of a vehicle end in a designated area range;
the vehicle end is internally provided with a vehicle normal behavior model library and a vehicle abnormal behavior model library and is used for comparing real-time vehicle behaviors to determine first vehicle abnormal information and sending the first vehicle abnormal information to the movable data management node;
the movable data management node is also provided with a traffic environment identifier for identifying traffic environment information of the vehicle end, the movable data management node judges the first vehicle abnormal information by combining the traffic environment information to obtain second vehicle abnormal information, and the movable data management node sends the second vehicle abnormal information to the processing node;
the processing node is configured to:
comparing each second vehicle abnormal information with a corresponding vehicle state parameter threshold;
and determining second vehicle abnormal information exceeding the vehicle state parameter threshold value as target abnormal information, and further matching the target abnormal information with data in a vehicle abnormal coping scheme database to derive coping scheme information, namely feedback information, aiming at the target abnormal information.
7. A car networking safety detection method is characterized by comprising the following steps:
processing the abnormal information of the vehicle to generate feedback information;
sending the feedback information to a vehicle end;
the vehicle end is used for acquiring vehicle abnormal information and sending the vehicle abnormal information to the processing node through the movable data management node;
the processing node is used for processing the vehicle abnormal information to generate feedback information, and transferring the feedback information through the movable data management node to send the feedback information to the vehicle end;
the feedback information is transferred through the movable data management node, and the movable data management node is responsible for data processing and transferring of a vehicle end in a designated area range;
the vehicle end is provided with a vehicle normal behavior model base and a vehicle abnormal behavior model base, and the vehicle normal behavior model base and the vehicle abnormal behavior model base are used for comparing real-time vehicle behaviors to determine first vehicle abnormal information and sending the first vehicle abnormal information to the movable data management node;
the movable data management node is also provided with a traffic environment identifier for identifying traffic environment information of the vehicle end, the movable data management node judges the first vehicle abnormal information by combining the traffic environment information to obtain second vehicle abnormal information, and the movable data management node sends the second vehicle abnormal information to the processing node; the processing node is configured to:
comparing each second vehicle abnormal information with a corresponding vehicle state parameter threshold;
and determining second vehicle abnormal information exceeding the vehicle state parameter threshold value as target abnormal information, and further matching the target abnormal information with data in a vehicle abnormal coping scheme database to derive coping scheme information, namely feedback information, aiming at the target abnormal information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110221500.8A CN113038426B (en) | 2021-02-27 | 2021-02-27 | Internet of vehicles safety detection system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110221500.8A CN113038426B (en) | 2021-02-27 | 2021-02-27 | Internet of vehicles safety detection system and method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113038426A CN113038426A (en) | 2021-06-25 |
| CN113038426B true CN113038426B (en) | 2022-07-22 |
Family
ID=76464831
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110221500.8A Active CN113038426B (en) | 2021-02-27 | 2021-02-27 | Internet of vehicles safety detection system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113038426B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113938295B (en) * | 2021-09-29 | 2022-12-13 | 国家计算机网络与信息安全管理中心 | Method and system for detecting abnormal transmission behavior of internet automobile communication data, electronic equipment and readable medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107343301A (en) * | 2017-05-23 | 2017-11-10 | 重庆邮电大学 | A kind of vehicular ad hoc network high efficient and reliable method for routing based on message polymerization |
| CN108091129A (en) * | 2018-01-12 | 2018-05-29 | 北京摩拜科技有限公司 | Vehicle trouble processing method, server, detection device and Vehicular system |
| CN108648489A (en) * | 2018-05-15 | 2018-10-12 | 湖北文理学院 | A kind of traffic information Real-Time Sharing system and method based on car networking |
| CN110027570A (en) * | 2019-04-23 | 2019-07-19 | 广州小鹏汽车科技有限公司 | Vehicle failure solution, device, storage medium and automobile controlling terminal |
| CN111385314A (en) * | 2020-06-01 | 2020-07-07 | 新睿信智能物联研究院(南京)有限公司 | Vehicle networking safety system, device and storage medium based on block chain and cloud computing fusion mechanism |
| CN111762197A (en) * | 2019-03-15 | 2020-10-13 | 通用汽车有限责任公司 | Vehicle operation in response to an emergency event |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2019095382A1 (en) * | 2017-11-20 | 2019-05-23 | 深圳市大疆创新科技有限公司 | Image transmission method and apparatus for unmanned aerial vehicle |
| CN112214032A (en) * | 2019-07-10 | 2021-01-12 | 中强光电股份有限公司 | Unmanned aerial vehicle inspection system and unmanned aerial vehicle inspection method |
-
2021
- 2021-02-27 CN CN202110221500.8A patent/CN113038426B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107343301A (en) * | 2017-05-23 | 2017-11-10 | 重庆邮电大学 | A kind of vehicular ad hoc network high efficient and reliable method for routing based on message polymerization |
| CN108091129A (en) * | 2018-01-12 | 2018-05-29 | 北京摩拜科技有限公司 | Vehicle trouble processing method, server, detection device and Vehicular system |
| CN108648489A (en) * | 2018-05-15 | 2018-10-12 | 湖北文理学院 | A kind of traffic information Real-Time Sharing system and method based on car networking |
| CN111762197A (en) * | 2019-03-15 | 2020-10-13 | 通用汽车有限责任公司 | Vehicle operation in response to an emergency event |
| CN110027570A (en) * | 2019-04-23 | 2019-07-19 | 广州小鹏汽车科技有限公司 | Vehicle failure solution, device, storage medium and automobile controlling terminal |
| CN111385314A (en) * | 2020-06-01 | 2020-07-07 | 新睿信智能物联研究院(南京)有限公司 | Vehicle networking safety system, device and storage medium based on block chain and cloud computing fusion mechanism |
Non-Patent Citations (1)
| Title |
|---|
| 面向车联网的无人机分布式动态部署及路由协议设计;许乐;《中国优秀硕士学位论文全文数据库》;20200715;全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113038426A (en) | 2021-06-25 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Dibaei et al. | Investigating the prospect of leveraging blockchain and machine learning to secure vehicular networks: A survey | |
| KR101592788B1 (en) | Handling method of misbehaving vehicles and v2x communication system | |
| US8374911B2 (en) | Vehicle usage-based tolling privacy protection architecture | |
| Bian et al. | Security in use cases of vehicle-to-everything communications | |
| US20220398149A1 (en) | Minimizing transport fuzzing reactions | |
| US11704107B2 (en) | Software updates based on transport-related actions | |
| CN113038426B (en) | Internet of vehicles safety detection system and method | |
| CN114846469A (en) | Vehicle control system for network security and financial transactions | |
| Khot et al. | Position falsification misbehavior detection in vanets | |
| US20220334592A1 (en) | Transport modification based on comparative characteristics | |
| US11438158B2 (en) | Provisioning of external functionality to transports | |
| US20220281340A1 (en) | Battery preservation amid transport disuse | |
| US20240025293A1 (en) | Transport battery health | |
| CN111724502B (en) | Vehicle driving data processing method, device, equipment and storage medium | |
| US20230241999A1 (en) | Transport recharge level determination | |
| US20240073037A1 (en) | Internal certificate authority for electronic control unit | |
| US12008100B2 (en) | Transport component tamper detection based on impedance measurements | |
| US11870557B2 (en) | Process for generating transport keys for data communication based on actions performed by a transport | |
| US11752889B2 (en) | Fractional energy retrieval | |
| US20220274593A1 (en) | Transport-related object avoidance | |
| Kamal et al. | A comprehensive solution for securing connected and autonomous vehicles | |
| US11897450B2 (en) | Transport slope management | |
| US20230415609A1 (en) | Electric vehicle auxiliary battery usage for energy consumption events | |
| US11503114B2 (en) | Provisioning of event-based keys to transports | |
| US20240129966A1 (en) | Bluetooth rf signature for active security countermeasure |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |