CN109040019A - Intrusion detection method, device, terminal and storage medium based on car networking - Google Patents
Intrusion detection method, device, terminal and storage medium based on car networking Download PDFInfo
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- CN109040019A CN109040019A CN201810671805.7A CN201810671805A CN109040019A CN 109040019 A CN109040019 A CN 109040019A CN 201810671805 A CN201810671805 A CN 201810671805A CN 109040019 A CN109040019 A CN 109040019A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
- H04L63/1408—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic by monitoring network traffic
- H04L63/1416—Event detection, e.g. attack signature detection
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
- H04L63/1441—Countermeasures against malicious traffic
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/025—Services making use of location information using location based information parameters
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- 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]
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Abstract
The present invention is applicable in vehicle networking technical field, provide a kind of intrusion detection method based on car networking, device, terminal and storage medium, this method comprises: after the beacon message that current vehicle receives target vehicle sending, the wagon flow measure feature and truck position feature of target vehicle are obtained according to beacon message, further according to the wagon flow measure feature and truck position feature of acquisition, classified using preparatory trained vehicle characteristics classifier to target vehicle, to determine whether target vehicle is invasion vehicle, to determine whether target vehicle is invasion vehicle by two dimensions of traffic characteristic and truck position feature of target vehicle vehicle, and then it improves to the efficiency and accuracy for invading vehicle detection.
Description
Technical field
The invention belongs to vehicle networking technical field more particularly to a kind of intrusion detection methods based on car networking, device, end
End and storage medium.
Background technique
Car networking (Vehicle Ad Hoc Network, VANET) passes through DSRC (Dedicated Short Range
Communications, dedicated short-range communication technology) realize wireless communication between move vehicle, wherein contain vehicle with
Communication (the Vehicle-to- of communication (Vehicle-to-Vehicle, V2V) and vehicle infrastructure between vehicle
Infrastructure,V2I).The application of VANET makes vehicle driving safety coefficient be significantly improved, especially extreme
Vehicle driving safety coefficient in driving conditions, for example, vehicle in dense fog, heavy rain or other adverse circumstances when driving, can lead to
The information for crossing VANET feedback surrounding vehicles, allows driver before danger is arrived, has the more fully time to eliminate danger.Except this
Except, VANET can also connect internet, bring various amusement functions for user.VANET can not only promote people's lives
Quality has also ensured vehicle driving safety, therefore for vehicle driving safety, the safety problem of VANET is just at people's needs
The matter of utmost importance of solution.VANET is generally divided by the mode that invasion vehicle is invaded internals attack and external attack, for example, witch
Attack (Sybil Attack) and dummy message attack etc., wherein there is the vehicle of intrusion behavior (abnormal behaviour) to be known as invading vehicle.
Intruding detection system (Intrusion Detection System, IDS) is that existing VANET is most popular
Detection system, by analyzing the message of vehicle in VANET and classifying to these message, to be effectively detected in VANET
Portion and external attack.However, existing IDS does not have any generally acknowledged database available, it means that existing IDS can only be with
It works by means of the data locally monitored, and existing IDS verifying and response speed are not able to satisfy high dynamic as VANET
Network can not rapidly and accurately detect the unexpected message that invasion vehicle issues.
Summary of the invention
The purpose of the present invention is to provide a kind of intrusion detection method based on car networking, device, terminal and storages to be situated between
Matter, it is intended to solve that a kind of effective intrusion detection method can not be provided due to the prior art, cause to disappear to other vehicles received
The lower problem of the abnormal judging efficiency of breath.
On the one hand, the present invention provides a kind of intrusion detection method based on car networking, the method includes the following steps:
When current vehicle receives the beacon message of target vehicle sending, the beacon of the target vehicle based on the received
Message obtains the wagon flow measure feature and truck position feature of the target vehicle；
According to the wagon flow measure feature and truck position feature of acquisition, preparatory trained vehicle characteristics classifier pair is used
Whether the target vehicle is classified, be invasion vehicle with the determination target vehicle.
On the other hand, the present invention provides a kind of invasion detecting device based on car networking, described device includes:
Feature acquiring unit, when for receiving the beacon message of target vehicle sending when current vehicle, based on the received
The beacon message of the target vehicle obtains the wagon flow measure feature and truck position feature of the target vehicle；And
Vehicle classification unit, for the wagon flow measure feature and truck position feature according to acquisition, using training in advance
Vehicle characteristics classifier classify to the target vehicle, with the determination target vehicle whether be invasion vehicle.
On the other hand, the present invention also provides a kind of car-mounted terminal, including memory, processor and it is stored in described deposit
In reservoir and the computer program that can run on the processor, the processor are realized such as when executing the computer program
The step of above-mentioned intrusion detection method based on car networking.
On the other hand, the present invention also provides a kind of computer readable storage medium, the computer readable storage mediums
It is stored with computer program, such as the above-mentioned intrusion detection side based on car networking is realized when the computer program is executed by processor
The step of method.
The present invention obtains target carriage after the beacon message that current vehicle receives target vehicle sending, according to beacon message
Wagon flow measure feature and truck position feature, further according to the wagon flow measure feature and truck position feature of acquisition, using training in advance
Vehicle characteristics classifier classify to target vehicle, with determine target vehicle whether be invasion vehicle, to pass through target
Two dimensions of traffic characteristic and truck position feature of vehicle vehicle determine whether target vehicle is invasion vehicle, and then improve pair
Invade the efficiency and accuracy of vehicle detection.
Detailed description of the invention
Fig. 1 is the implementation flow chart for the intrusion detection method based on car networking that the embodiment of the present invention one provides；
Fig. 2 is the structural schematic diagram of the invasion detecting device provided by Embodiment 2 of the present invention based on car networking；
Fig. 3 is the preferred structure schematic diagram of feature acquiring unit provided by Embodiment 2 of the present invention；And
Fig. 4 is a kind of structural schematic diagram for car-mounted terminal that the embodiment of the present invention four provides.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used in the restriction present invention.
Specific implementation of the invention is described in detail below in conjunction with specific embodiment:
Embodiment one:
Fig. 1 shows the implementation process of the intrusion detection method based on car networking of the offer of the embodiment of the present invention one, in order to
Convenient for explanation, only parts related to embodiments of the present invention are shown, and details are as follows:
In step s101, when current vehicle receives the beacon message of target vehicle sending, target based on the received
The beacon message of vehicle obtains the wagon flow measure feature and truck position feature of target vehicle.
Intruding detection system or intrusion detection platform of the embodiment of the present invention suitable for car networking.In the embodiment of the present invention
In, by be detected whether be invade vehicle vehicle be known as target vehicle, will test target vehicle whether be invade vehicle vehicle
It is known as current vehicle, the vehicle in current vehicle detection range is known as neighbours' vehicle, i.e. target vehicle is in neighbours' vehicle
By the vehicle of vehicle detection, beacon message includes that vehicle ID (Identification, identity number), vehicle are averaged
The Y coordinate of vehicle flowrate, the X-coordinate of vehicle location and vehicle location.
Preferably, when obtaining the wagon flow measure feature of target vehicle, target carriage is obtained from the beacon message of target vehicle
Average vehicle flow, it is public according to the average vehicle flow of current vehicle, the average vehicle flow of target vehicle and wagon flow measure feature
Formula obtains the wagon flow measure feature of target vehicle, and vehicle flowrate characteristic formula is FlowR=| AvgFlowown-AvgFlowtag|, wherein
FlowR is the wagon flow measure feature of target vehicle, AvgFlowownFor the average vehicle flow of current vehicle, AvgFlowtagFor target carriage
Average vehicle flow, consequently facilitating classifier according to the wagon flow measure feature of target vehicle rapidly determines target in subsequent process
Whether vehicle is invasion vehicle.
In embodiments of the present invention, vehicle need to calculate flat around itself before sending beacon message to neighbours' vehicle
Equal vehicle flowrate, it is preferable that by formula F low=AvgSpeed × CalDensity andThe vehicle flowrate for obtaining vehicle, passes through formulaThe average vehicle flow of vehicle is calculated, to improve average vehicle in beacon message
The accuracy of flow, wherein Flow is the average speed that vehicle flowrate AvgSpeed is vehicle, and MaxSpeed is vehicle current road segment
Max. speed, CalDensity be surrounding vehicles density, CalDensity can be according to the neighbours in the white list of vehicle
Quantity obtain, MaxDensity be current road segment congestion density (section the most congestion when traffic density).
Preferably, when obtaining the truck position feature of target vehicle, to the neighbours' vehicle broadcast request message of current vehicle,
To obtain the response message of neighbours' vehicle, current time neighbours' vehicle is respectively obtained to target according to the response message of neighbours' vehicle
The measurement distance of the statement distance of vehicle and current time neighbours' vehicle to target vehicle obtains current time neighbours' vehicle and mesh
The first distance deviation for marking vehicle, respectively obtains current time current vehicle to target vehicle according to the beacon message of target vehicle
Statement distance and the measurement distance of current time current vehicle to target vehicle, obtain current time current vehicle and target carriage
Second distance deviation, further according to first distance deviation, second distance deviation and truck position characteristic formula obtain target carriage
Position feature, consequently facilitating classifier according to the truck position feature of target vehicle rapidly determines target carriage in subsequent process
It whether is invasion vehicle, wherein range deviation is that statement distance and two vehicle of two vehicles measure the exhausted of distance difference
To value, apart from the coordinate distance for being two vehicles, measurement distance is vehicle distance as obtained from measuring signal power for statement, is asked
Ask message include request vehicle (current vehicle) ID and target vehicle ID, response message include neighbours' vehicle ID, target vehicle ID,
The X-coordinate of neighbours' vehicle position, the Y coordinate of neighbours' vehicle position and measurement distance (between neighbours' vehicle and target vehicle away from
From).
Specifically, pass through formulaIt obtains
Second distance deviation, passes through formulaObtain the
One range deviation, passes through formulaObtain the position feature of target vehicle, wherein
Do&tFor the measurement distance of current vehicle and target vehicle, Dn&tFor the measurement distance of neighbours' vehicle and target vehicle, (Xposown,
Yposown) be current vehicle coordinate, (Xpostag,Ypostag) be target vehicle coordinate, (Xposneg,Yposneg) it is neighbours
The coordinate of vehicle, Biasn&tFor first distance deviation, Biaso&tFor second distance deviation, PositionR is the position of target vehicle
Feature is set, n is neighbours' vehicle quantity.
It is further preferred that after the step of obtaining first distance deviation and second distance deviation, it is inclined according to first distance
Before the step of difference, second distance deviation and truck position characteristic formula obtain the position feature of target vehicle, according to first away from
The response message of neighbours' vehicle is filtered from deviation and second distance deviation, to eliminate invasion vehicle data to detection
The interference met.Specifically, as | Biaso&t-Biasn&tWhen | >=MaxGap, corresponding neighbours' message will be filtered, and MaxGap is
Deviation maximum value can be obtained in training vehicle characteristics classifier.
It is further preferred that judging target carriage before the step of to the neighbours' vehicle broadcast request message of current vehicle
Whether in the white list of current vehicle, when target vehicle is not in the white list of current vehicle, jump to
To current vehicle neighbours' vehicle broadcast request message the step of, when target vehicle is in the white list of current vehicle,
The range deviation that current time current vehicle and target vehicle are obtained according to the beacon message of target vehicle, then according to formulaObtain the target vehicle of upper beacon period with it is current when
The range deviation of the target vehicle at quarter, further according to formulaIt obtains
The range deviation for taking the current vehicle of a beacon period and the target vehicle at current time, finally according to formulaThe position feature for obtaining target vehicle, to reduce target vehicle position feature
Acquisition time, and then improve detection efficiency.Wherein,
Dt&t'For the measurement distance of target vehicle of the target vehicle to current time of a upper beacon period,Do'&tFor a upper beacon period current vehicle to current time
Target vehicle measurement distance, BeaconT be a beacon message period, Biast&t'For the target carriage of a upper beacon period
Range deviation with current time, Biaso'&tFor a upper beacon period current vehicle and current target vehicle away from
From deviation, Do&tFor current time current vehicle to current time target vehicle measurement distance, Do&o'For current time
Current vehicle to a upper beacon period current vehicle measurement distance, (Xpostag,Ypostag) it is current target vehicle
Coordinate, (Xpostag',Ypostag') be upper beacon period target vehicle coordinate, (Xposown,Yposown) it is current time
The coordinate of target vehicle, ∠ TOO' are Do&o'And Do&tAngle, PositionR be target vehicle position feature.
In step s 102, special using trained vehicle in advance according to the wagon flow measure feature of acquisition and truck position feature
Sign classifier classifies to target vehicle, to determine whether target vehicle is invasion vehicle.
In embodiments of the present invention, the white list of vehicle be the vehicle detection range in be detected as normal vehicle
Vehicle ID list, the blacklist list of vehicle be the vehicle detection range in be detected as the vehicle ID column of invasion vehicle
Table, vehicle characteristics classifier are multidimensional classifier, can be to vehicle while in two dimensions of wagon flow measure feature and truck position feature
Classify.Current vehicle, neighbours' vehicle all in identical transportation condition, what current vehicle and its neighbours' vehicle detected
Vehicle flowrate is very close, when target vehicle is to create the fact that be not present and pass through transmission false flow to other vehicles,
The vehicle flowrate difference of vehicle flowrate and current vehicle is larger, determines whether target vehicle is invasion by the vehicle flowrate of target vehicle
Vehicle, to improve the accuracy to target vehicle judgement.Furthermore target vehicle is to its neighbours' vehicle (including current vehicle)
The deviation of the position (distance) of statement and the position (distance) of current vehicle measurement target vehicle should lead in certain deviation range
The truck position feature of target vehicle is crossed to determine whether target vehicle is invasion vehicle, to further improve to target vehicle
The accuracy of judgement.
Preferably, when wagon flow measure feature in preset flow deviation range and truck position feature is in predeterminated position deviation model
When enclosing interior, judgement target vehicle is non-intrusive vehicle, and target vehicle is divided into the white list of current vehicle, otherwise, it is determined that
Target vehicle is invasion vehicle, target vehicle is divided into the blacklist list of current vehicle, thus whether judging target vehicle
For vehicle to be divided into different lists while invasion vehicle, and then convenient for subsequent vehicle to invasion vehicle and non-intrusive vehicle
Management.
In embodiments of the present invention, preset flow deviation range and predeterminated position deviation range can be in the vehicles to current vehicle
Feature classifiers obtain when being trained, and specifically, settable a certain number of normal vehicles are for current vehicle to vehicle spy
Sign classifier is trained, to obtain preset flow deviation range and predeterminated position deviation range.
In embodiments of the present invention, after the beacon message that current vehicle receives target vehicle sending, disappeared according to beacon
The wagon flow measure feature and truck position feature that breath obtains target vehicle make further according to the wagon flow measure feature and truck position feature of acquisition
Classified with preparatory trained vehicle characteristics classifier to target vehicle, to determine whether target vehicle is invasion vehicle,
To determine whether target vehicle is invasion vehicle by two dimensions of traffic characteristic and truck position feature of target vehicle vehicle,
And then it improves to the efficiency and accuracy for invading vehicle detection.
Embodiment two:
Fig. 2 shows the structure of the invasion detecting device provided by Embodiment 2 of the present invention based on car networking, for the ease of
Illustrate, only parts related to embodiments of the present invention are shown, including:
Feature acquiring unit 21, when for receiving the beacon message of target vehicle sending when current vehicle, according to reception
Target vehicle beacon message obtain target vehicle wagon flow measure feature and truck position feature；And
Vehicle classification unit 22, for using preparatory trained vehicle characteristics classifier according to the wagon flow measure feature of acquisition
Classify with truck position feature to target vehicle, when wagon flow measure feature is in preset flow deviation range and the feature of truck position
When in predeterminated position deviation range, target vehicle is divided into white list, otherwise, target vehicle is divided into blacklist column
Table judges whether target vehicle is invasion vehicle further according to the classification results of target vehicle.
The preferred structure of feature acquiring unit as shown in Figure 3, it is preferable that feature acquiring unit 21 includes:
Vehicle flowrate acquiring unit 31, for obtaining the average vehicle flow of target vehicle from the beacon message of target vehicle；
Traffic characteristic acquiring unit 32, for average vehicle flow, the average vehicle flow of target vehicle according to current vehicle
And vehicle flowrate characteristic formula obtains the wagon flow measure feature of target vehicle.
Request message radio unit 33, for the neighbours' vehicle broadcast request message to current vehicle, to obtain all neighbours
Occupy the response message of vehicle；
First deviation acquiring unit 34 respectively obtains current time neighbours' vehicle for the response message according to neighbours' vehicle
To the measurement distance of the statement distance and current time neighbours' vehicle to target vehicle of target vehicle, current time neighbours vehicle is obtained
And target vehicle first distance deviation；
Second deviation acquiring unit 35 respectively obtains current time current vehicle for the beacon message according to target vehicle
To the statement distance and the measurement distance of current time current vehicle to target vehicle of target vehicle, acquisition current time works as front truck
And target vehicle second distance deviation；And
Position feature acquiring unit 36, for public according to first distance deviation, second distance deviation and truck position feature
The position feature of formula acquisition target vehicle.
In embodiments of the present invention, after the beacon message that current vehicle receives target vehicle sending, disappeared according to beacon
The wagon flow measure feature and truck position feature that breath obtains target vehicle make further according to the wagon flow measure feature and truck position feature of acquisition
Classified with preparatory trained vehicle characteristics classifier to target vehicle, to determine whether target vehicle is invasion vehicle,
To determine whether target vehicle is invasion vehicle by two dimensions of traffic characteristic and truck position feature of target vehicle vehicle,
And then it improves to the efficiency and accuracy for invading vehicle detection.
In embodiments of the present invention, each unit of the invasion detecting device based on car networking can be by corresponding hardware or software
Unit realizes that each unit can be independent soft and hardware unit, also can integrate as a soft and hardware unit, herein not to
The limitation present invention.The specific embodiment of each unit can refer to the description of embodiment one, and details are not described herein.
Embodiment three:
Fig. 4 shows the structure of the car-mounted terminal of the offer of the embodiment of the present invention three, for ease of description, illustrates only and this
The relevant part of inventive embodiments, including:
The car-mounted terminal 4 of the embodiment of the present invention includes processor 41, memory 42 and is stored in memory 42 and can
The computer program 43 run on processor 41.The processor 41 is realized above-mentioned based on car networking when executing computer program 43
Intrusion detection method embodiment in step, such as step S101 to S102 shown in FIG. 1.Alternatively, processor 41 executes meter
The function of each unit in the above-mentioned invasion detecting device embodiment based on car networking is realized when calculation machine program 43, such as shown in Fig. 2
The function of unit 21 to 22.
In embodiments of the present invention, when which executes computer program, target vehicle hair is received in current vehicle
After beacon message out, the wagon flow measure feature and truck position feature of target vehicle are obtained according to beacon message, further according to acquisition
Wagon flow measure feature and truck position feature classify to target vehicle using preparatory trained vehicle characteristics classifier, with true
Whether the vehicle that sets the goal is invasion vehicle, to be sentenced by two dimensions of traffic characteristic and truck position feature of target vehicle vehicle
Whether the vehicle that sets the goal is invasion vehicle, and then improves the efficiency and accuracy to invasion vehicle detection.
The processor realizes the step in the above-mentioned intrusion detection method embodiment based on car networking when executing computer program
Suddenly it can refer to the description of embodiment one, details are not described herein.
Example IV:
In embodiments of the present invention, a kind of computer readable storage medium is provided, which deposits
Computer program is contained, which realizes that the above-mentioned intrusion detection method based on car networking is implemented when being executed by processor
Step in example, for example, step S101 to S102 shown in FIG. 1.Alternatively, on being realized when the computer program is executed by processor
State the function of each unit in the invasion detecting device embodiment based on car networking, such as the function of unit 21 to 22 shown in Fig. 2.
In embodiments of the present invention, after computer program is executed by processor, target vehicle is received in current vehicle
After the beacon message of sending, the wagon flow measure feature and truck position feature of target vehicle are obtained according to beacon message, further according to acquisition
Wagon flow measure feature and truck position feature, classified using preparatory trained vehicle characteristics classifier to target vehicle, with
Determine target vehicle whether be invasion vehicle, thus by two dimensions of traffic characteristic and truck position feature of target vehicle vehicle come
Determine whether target vehicle is invasion vehicle, and then improves the efficiency and accuracy to invasion vehicle detection.
The computer readable storage medium of the embodiment of the present invention may include can carry computer program code any
Entity or device, storage medium, for example, the memories such as ROM/RAM, disk, CD, flash memory.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Made any modifications, equivalent replacements, and improvements etc., should all be included in the protection scope of the present invention within mind and principle.
Claims (10)
1. a kind of intrusion detection method based on car networking, which is characterized in that the method includes the following steps:
When current vehicle receives the beacon message of target vehicle sending, the beacon message of the target vehicle based on the received
Obtain the wagon flow measure feature and truck position feature of the target vehicle；
According to the wagon flow measure feature and truck position feature of acquisition, using preparatory trained vehicle characteristics classifier to described
Whether target vehicle is classified, be invasion vehicle with the determination target vehicle.
2. the method as described in claim 1, which is characterized in that obtained in the beacon message of the target vehicle based on the received
The step of wagon flow measure feature and truck position feature of the target vehicle, comprising:
The average vehicle flow of the target vehicle is obtained from the beacon message of the target vehicle；
It is obtained according to the average vehicle flow of the current vehicle, the average vehicle flow of the target vehicle and vehicle flowrate characteristic formula
Take the wagon flow measure feature of the target vehicle.
3. the method as described in claim 1, which is characterized in that obtained in the beacon message of the target vehicle based on the received
The step of wagon flow measure feature and truck position feature of the target vehicle, further includes:
To the neighbours' vehicle broadcast request message of the current vehicle, to obtain the response message of the neighbours' vehicle；
According to the response message of the neighbours' vehicle respectively obtain neighbours' vehicle described in current time to the target vehicle sound
Neighbours' vehicle described in prescribed distance and current time obtains neighbours' vehicle described in current time to the measurement distance of the target vehicle
With the first distance deviation of the target vehicle；
According to the beacon message of the target vehicle respectively obtain current vehicle described in current time to the target vehicle sound
Current vehicle described in prescribed distance and current time obtains current vehicle described in current time to the measurement distance of the target vehicle
With the second distance deviation of the target vehicle；
The target vehicle is obtained according to the first distance deviation, the second distance deviation and truck position characteristic formula
Position feature.
4. method as claimed in claim 3, which is characterized in that obtain the first distance deviation and the second distance deviation
The step of after, the mesh is obtained according to the first distance deviation, the second distance deviation and truck position characteristic formula
Before the step of marking the position feature of vehicle, the method also includes:
The response message of the neighbours' vehicle is filtered according to the first distance deviation and the second distance deviation.
5. the method as described in claim 1, which is characterized in that according to the wagon flow measure feature and truck position feature of acquisition,
The step of being classified using preparatory trained vehicle characteristics classifier to the target vehicle, comprising:
When the wagon flow measure feature is in preset flow deviation range and the truck position feature is in predeterminated position deviation range
When, determine that the target vehicle is non-intrusive vehicle, the target vehicle is divided into the white list of the current vehicle, it is no
Then, determine that the target vehicle to invade vehicle, is divided into the blacklist list of the current vehicle by the target vehicle.
6. a kind of invasion detecting device based on car networking, which is characterized in that described device includes:
Feature acquiring unit, it is described based on the received when for receiving the beacon message of target vehicle sending when current vehicle
The beacon message of target vehicle obtains the wagon flow measure feature and truck position feature of the target vehicle；And
Vehicle classification unit uses preparatory trained vehicle for the wagon flow measure feature and truck position feature according to acquisition
Whether feature classifiers classify to the target vehicle, be invasion vehicle with the determination target vehicle.
7. device as claimed in claim 6, which is characterized in that the feature acquiring unit includes:
Vehicle flowrate acquiring unit, for obtaining the average wagon flow of the target vehicle from the beacon message of the target vehicle
Amount；And
Traffic characteristic acquiring unit, for average vehicle flow, the average wagon flow of the target vehicle according to the current vehicle
Amount and vehicle flowrate characteristic formula obtain the wagon flow measure feature of the target vehicle.
8. device as claimed in claim 6, which is characterized in that the feature acquiring unit further include:
Request message radio unit, for the neighbours' vehicle broadcast request message to current vehicle, to obtain the neighbours' vehicle
Response message；
First deviation acquiring unit, for respectively obtaining neighbours' vehicle described in current time according to the response message of the neighbours' vehicle
To the target vehicle statement distance and neighbours' vehicle described in current time to the target vehicle measurement distance, acquisition
The first distance deviation of neighbours' vehicle described in current time and the target vehicle；
Second deviation acquiring unit works as front truck for respectively obtaining according to the beacon message of the target vehicle described in current time
Arrive the target vehicle statement distance and the measurement distance of current vehicle described in current time to the target vehicle, acquisition
The second distance deviation of current vehicle described in current time and the target vehicle；And
Position feature acquiring unit, for according to the first distance deviation, the second distance deviation and truck position feature
Formula obtains the position feature of the target vehicle.
9. a kind of car-mounted terminal, including memory, processor and storage are in the memory and can be on the processor
The computer program of operation, which is characterized in that the processor realizes such as claim 1 to 5 when executing the computer program
The step of item the method.
10. a kind of computer readable storage medium, the computer-readable recording medium storage has computer program, and feature exists
In realization is such as the step of claim 1 to 5 the method when the computer program is executed by processor.
Priority Applications (1)
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| CN201810671805.7A CN109040019A (en) | 2018-06-26 | 2018-06-26 | Intrusion detection method, device, terminal and storage medium based on car networking |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810671805.7A CN109040019A (en) | 2018-06-26 | 2018-06-26 | Intrusion detection method, device, terminal and storage medium based on car networking |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112398822A (en) * | 2020-10-29 | 2021-02-23 | 安徽江淮汽车集团股份有限公司 | Internet of vehicles Sybil attack detection method, device, equipment and storage medium |
| CN115176444A (en) * | 2020-02-11 | 2022-10-11 | 大陆汽车科技有限公司 | Intrusion and anomaly detection method based on edge calculation |
-
2018
- 2018-06-26 CN CN201810671805.7A patent/CN109040019A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115176444A (en) * | 2020-02-11 | 2022-10-11 | 大陆汽车科技有限公司 | Intrusion and anomaly detection method based on edge calculation |
| CN112398822A (en) * | 2020-10-29 | 2021-02-23 | 安徽江淮汽车集团股份有限公司 | Internet of vehicles Sybil attack detection method, device, equipment and storage medium |
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Application publication date: 20181218 |