CN106647724A - T-BOX information security detection and protection method based on vehicle anomaly data monitoring - Google Patents
T-BOX information security detection and protection method based on vehicle anomaly data monitoring Download PDFInfo
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- CN106647724A CN106647724A CN201710079853.2A CN201710079853A CN106647724A CN 106647724 A CN106647724 A CN 106647724A CN 201710079853 A CN201710079853 A CN 201710079853A CN 106647724 A CN106647724 A CN 106647724A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0243—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults model based detection method, e.g. first-principles knowledge model
- G05B23/0245—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults model based detection method, e.g. first-principles knowledge model based on a qualitative model, e.g. rule based; if-then decisions
- G05B23/0248—Causal models, e.g. fault tree; digraphs; qualitative physics
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Abstract
A T-BOX information security detection and protection method based on vehicle anomaly data monitoring comprises: classifying and summarizing vehicle faults, providing a universal vehicle fault tree model, collecting and comparing vehicle real-time data through T-BOX, monitoring vehicle anomaly data in real time, transmitting to a telematics service platform (TSP) constantly, determining change trends of operation parameters and states of each vehicle part and system through data fusion and through big data analysis based on vehicle driving historical information collected by a cloud terminal and vehicle main parts related information restored by a main engine plant, comparing vehicle real-time information transmitted by T-BOX, judging whether a vehicle has anomaly data or not at present, and determining whether the vehicle is under information security attack or not based on the established vehicle fault tree model; finally, notifications or warnings on fault problems due to vehicle functional security need to be made for users and vehicles by the TSP.
Description
Technical field
The present invention relates to automobile information security technology area, it is adaptable to information of vehicles security protection, and in particular to one kind
The detection of T-BOX information securities and means of defence based on vehicle abnormality data monitoring.
Background technology
With it is vehicle intellectualized, net connectionization, it is informationalized greatly develop, intelligent network join vehicle shared by market proportion increasingly
Greatly.At the same time, the letter that complicated in-vehicle network, onboard sensor, cordless communication network, telematics system etc. bring
Breath safety problem is progressively paid close attention to by people, and national correlation department, industry and industry are even more the information security of net connection automobile
Problem is placed on the first place of industry key technology research.
Existing automobile information safety product mainly has car borne gateway, OBD remote monitoring services system and T-BOX etc., its
Middle car borne gateway is the core of automotive interior communication network, can realize the shared of information in each bar bus by it and realize vapour
The network management in in-car portion and fault diagnosis, are the guarantees of in-vehicle network safety.
OBD remote monitoring service systems are mainly based upon OBD fault diagnosis functions, by GPS chip, acceleration sensor,
Communication module etc. is connected with background server, and application end is automatically reminded to and remote monitoring etc. by mobile phone A PP.But OBD
For the vehicle control information that some deceptive information or interference signal are caused but can not be detected extremely, automobile information is carried out
Also there are many deficiencies in safeguard protection.
T-BOX directly communicates as the car-mounted terminal of car networking system with in-vehicle network, obtain situation of remote, and by this
A little data upload to cloud platform, can also receive the instruction of cloud platform transmission and carry out result feedback.T-BOX is automobile and extranets
The terminal of network connection, functionally mainly completes external communication network and mutual conversion of the in-vehicle network in agreement, is several
According to transmission and the basis for exchanging.
At present, only there is major part T-BOX products simple network to change and data-transformation facility on market, but not
Possess information security detection and protective capacities, be functionally merely possible to procotol converter, information security detection and protection
Mainly realized by cloud server.But intelligent network connection vehicle the whole series protecting information safety system fully relies on high in the clouds meeting
There are problems, for example vehicle itself does not have information safety protection ability, is on the hazard beyond the clouds or attacks (such as fire wall
Be broken, server is invaded), vehicle be subject to physical attacks when vehicle will lose information security capability.In addition
Easily interception of the person under attack to communication information of protecting information safety pattern with high in the clouds as carrier, causes losing for information of vehicles
Become estranged and steal, so as to cause privacy of user to expose and economic loss, or even the serious consequence for causing car crash.
The content of the invention
Preferably to protect automobile information, strengthen the protection architecture of automobile information safety, the present invention proposes one kind and is based on
The T-BOX information safety check surveys of vehicle abnormality data monitoring and means of defence.
The present invention technic relization scheme be：First vehicle trouble is entered from orthodox car, intelligent automobile and net connection automobile
Row sorts out summary, proposes a kind of general vehicle trouble tree-model.Then by T-BOX to the collection of vehicle real time data with it is right
Than, vehicle abnormality data are carried out with real-time monitoring, and constantly it is sent to remote service platform (TSP).Based on the vapour that high in the clouds is collected
Car driving history information and the vehicle critical piece relevant information of main engine plants' storage, are analyzed by data fusion and by big data
Method determines the operational factor and the variation tendency of state of vehicle all parts and system, and the vehicle for contrasting T-BOX transmissions is real-time
Information, judges vehicle currently with the presence or absence of abnormal data, then determines whether automobile is subject to based on the vehicle trouble tree-model set up
Information security is attacked.Finally for the failure problems that vehicle functions are caused safely, need to carry user and vehicle by TSP
Show or report to the police；For the vehicle trouble problem that information security is caused, needs shield according to information characteristics attribute to abnormal data
Cover, filter, or the operation such as recover, and vehicle abnormality information characteristics database is set up, by feature learning to same or similar
Information attack carry out a certain degree of security protection.
A kind of detection of T-BOX information securities and means of defence based on vehicle abnormality data monitoring, especially by following step
It is rapid to realize：
Step 1：To realize information of vehicles security protection, it is thus necessary to determine that all possible breakdown problems that operation vehicle is present,
First analysis and summary is carried out to vehicle trouble for this this patent, summarized the feature that vehicle has failure, established a kind of logical
With the fault tree models of vehicle.To sum up the fault signature of general-purpose vehicle, this patent respectively from conventional truck, intelligent vehicle and
Net connection vehicle is analyzed.Conventional truck failure generally comprises when engine noise increases, accelerates suddenly engine power not
In foot, neutral position sliding, vehicle travel process air-conditioning automatically turn on, meter panel of motor vehicle display information it is abnormal (such as speed, rotating speed；Machine
Oil, air bag, storage battery, tire pressure detection, car door lock, electronic-controlled power steering, parking brake warning；Malfunction indicator lamp, car door opening indicator lamp,
ABS indicator lamps etc.).In addition, the failure that intelligent vehicle occurs mainly has intelligent wiper, automatic headlamp, intelligent air condition, intelligence
The abnormal work of energy suspension, and the appearance of vehicle positioning system, vehicle bumper systems, auxiliary parking system, intelligent key system
Abnormality.It is remote that net connection vehicle trouble occurs mainly in road condition information system, emergency warning system, wireless communication system etc.
In journey radio communication and service system.By carrying out to the failure problems that conventional truck, intelligent vehicle and net connection vehicle often occur
Analysis, using FTA a kind of general vehicle trouble tree-model is set up.
Step 2：Automobile bus are connected by T-BOX and collects travel condition of vehicle and parameter information, including engine output
Data, fuel consumption data, battery drain data, vehicle interior temperature data, tire pressure data, car light status data, vehicle door status data, sky
Status data, range state data etc. are adjusted, and the information such as car speed, acceleration and position are determined by locating module.Then
By mobile communication module, the status information in vehicle travel process is constantly sent into TSP.T-BOX is in vehicle travel process
It is middle that the data for collecting and historical information are carried out into data analysis contrast, determine the DTC and operation ginseng of vehicle abnormality state
Number, is then sent to TSP by the vehicle abnormality status information for monitoring, TSP by according to the abnormal information for sending, to respective hosts
Factory sends relevant information call instruction, calls the information of dispatching from the factory (including technical parameter, performance indications etc.) of the vehicle trouble unit,
Then TSP carries out data fusion by the data (dispatching from the factory information and vehicle drive historical information including vehicle trouble part) collected
With big data analysis, the operational factor and the variation tendency of state of vehicle all parts and system are determined, then send with T-BOX
Vehicle abnormality status information be analyzed contrast, determine vehicle occur fault message.Then analyzed by multiple agent
The vehicle trouble messages that technology pair determines carry out multi-expert system analysis, based on the vehicle trouble tree-model set up, obtain vehicle
The failure cause of generation, it is determined that belonging to vehicle functions failure or information security issue.For still unascertainable failure cause,
TSP is needed to send relevant information call instruction to T-BOX, vehicle calls vehicle current operating conditions by T-BOX to bus
Message information, then feeds back to TSP, and by expert system depth analysis and data mining are carried out, and determines the abnormality letter
The characteristic attribute of breath, then corresponding fault message is determined based on the vehicle trouble tree-model set up, and by this kind of abnormality
Information Store carries out the automatic measure on line of car fault diagnosis in TSP knowledge bases.
Step 3：For the vehicle abnormality status information that vehicle functions failure is caused, TSP will be by note or phone side
Formula notifies car owner, reminds host vehicle generating function failure and is maintained to maintenance station in time, and the serious meeting of situation is directly dialled
Make a phone call to carry out related pick-up operation.For the car failure problems that information of vehicles is caused safely, TSP will be these abnormal shapes
The fault model code of the corresponding DTC of state, operational factor and determination is sent to T-BOX.
For the information of vehicles safety problem of TSP detections, the present invention is based on a kind of vehicle letter of fault model feature extraction
Breath safety protecting method.
Automobile information safety problem is usually subject to malicious attack, deceptive information, interference information or other assaults
What means were caused is this we by being analyzed contrast to identified vehicle abnormality data and historical data.Analysis result
In, if vehicle abnormality data have Modular Data increase, illustrate that the data are some deceptive information injected by attacker
Cause, then needs are filtered to the data；If there is the super logic of operational factor and status information in vehicle abnormality data
Property, illustrate the operation such as distort of data person under attack, then needs are shielded to the data；If vehicle abnormality data
Situations such as there is shortage of data or mess code, situations such as illustrating data malicious intrusions under attack or be implanted into wooden horse, this needs
The data are shielded, while carrying out Correlative data analysis and prediction by TSP, the recovery reduction of the data is realized；If
Case above is not admitted to, illustrates to suffer that other are attacked or invasion mode, needs are marked and are sent to the data
TSP, based on the vehicle trouble tree-model set up, carries out data fusion and status information analyses and prediction, to abnormal data distortion portion
Dividing carries out recovery reduction, then feeds back to T-BOX, and the abnormal data is stored in abnormal data feature database, is easy to system
Study and prediction to this feature, can directly be shielded in the attack of same type and be filtered afterwards.
Beneficial effects of the present invention：
(1) present invention establishes a kind of general vehicle trouble tree-model, including conventional truck, intelligent vehicle and net connection car
, it is that overall vehicle dysfunction state-detection and information security detection provide basis, solve conventional truck fault tree models
Applicability and it is comprehensive the problems such as.
(2) present invention is based on vehicle bus data receiver and mobile communication module data transfer, the T-BOX information peace of foundation
Full detection method with the abnormal state information of all parts and system operation in real-time monitoring vehicle travel process, and can realize car
Monitoring abnormal state it is comprehensive, and traditional vehicle abnormality status monitoring primarily focuses on the critical component of vehicle and is
System, is directed to partial function failure.
(3) present invention carries out monitoring abnormal state with T-BOX, with TSP as Data Analysis Platform, sets up vehicle abnormality state
Database, dispatches from the factory information with reference to vehicle real time status information, running history information and associated components, is capable of achieving vehicle abnormality shape
The classification and feature extraction of state, is accurately positioned vehicle trouble reason and characteristic attribute.
(4) detection of T-BOX information securities and means of defence based on vehicle abnormality status monitoring proposed by the present invention, sets up
The protecting information safety mechanism of vehicle-mounted end and high in the clouds, the drawbacks of solving traditional T-BOX and rely only on TSP and protected.
(5) present invention is for unknown fault message sets up abnormal data feature database and carries out automatic measure on line, Ke Yishi
The online upgrading of existing T-BOX protecting information safety mechanism.
Description of the drawings
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
The accompanying drawing to be used needed for having technology description is briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can be with
Other accompanying drawings are obtained according to these accompanying drawings.
Fig. 1 is a kind of general vehicle trouble tree-model schematic diagram of the present invention.
Fig. 2 is a kind of fault detection mechanism frame diagram based on vehicle abnormality data monitoring of the present invention.
Fig. 3 is a kind of information of vehicles safety protecting method frame diagram based on T-BOX of the present invention.
Specific embodiment
Below in conjunction with the accompanying drawings the invention will be further described with specific embodiment.
The present invention proposes a kind of T-BOX information securities detection based on vehicle abnormality data monitoring and means of defence, is
This establishes a kind of general vehicle trouble tree-model, as shown in figure 1, the model includes conventional truck, intelligent vehicle and net
Joining the fault message that vehicle may occur, and extract fault signature carries out data storage.The vehicle for being then based on T-BOX monitorings is different
Regular data, carries out data fusion and big data analysis in TSP, as shown in Fig. 2 according to analysis result and fault tree models, really
Determine the fault message of vehicle real-time detection, it is determined that be that vehicle functions reason is caused, need to send user and vehicle prompting or
Warning, for information of vehicles security reason is caused, needs that the feedback of the information to T-BOX and is recorded and stored.For
The information of vehicles safety failure of detection, needs according to abnormal data signature analysis, determines fault signature attribute, is then directed to
Property ground protection, as shown in figure 3, in figure set up abnormal data feature database, be to realize that information of vehicles Security mechanism exists
Line is upgraded.
When patent of the present invention is carried out, specific implementation steps are as follows：
1) according to conventional truck, the function of intelligent vehicle and net connection vehicle and application, to normal occurring or there is potential prestige
The failure of the side of body is analyzed and summarized, and based on FTA a kind of general vehicle trouble tree-model is set up.By to vehicle
Failure be analyzed classification, summary has a three zones module of vehicle, respectively general module, intelligent object and
Networking module.Wherein general module is primarily directed to some existing failure causes of conventional truck, and information is have also contemplated that in addition
Safety factor.General module is divided into by unit status, output switch parameter and the part of dispaly state three according to fault type, its middle part
The abnormality that part state is present is mainly the failure that occurs when vehicle individual components work, and such as engine noise is excessive, neutral
The abnormality such as slide.Output switch parameter mainly determines the switch such as vehicle brake, steering indicating light, car door by low and high level,
Be vehicle break down it is common where.Dispaly state be mainly meter panel of motor vehicle and display to vehicle critical piece some
Critical operational parameters carry out real-time monitoring and show, it may occur however that failure such as speed show situations such as abnormal, rotating speed shows abnormal.
Intelligent object part such as mainly uses computer, sensor, automatically controls at Vehicular intelligent application and the management that technology is realized,
Intelligent object is divided into intelligent controller, intelligence system by the parts such as perception, control, the execution of main correspondence intelligent vehicle, the present invention
Deng part, such as intelligence system mainly realizes that vehicle drive is aided in and positioning function.Networking module mainly corresponds to intelligent vehicle
Communication and service function, and net connection automobile entertainment information consulting etc. function, the present invention be classified as with car accessory system,
The parts such as position service system, service for life system, and corresponding failure is analyzed and summarized.
After the corresponding vehicle trouble analysis of all modules is collected, a kind of general-purpose vehicle is set up using FTA
Fault tree models, and the abnormal data feature based on each failure forms corresponding Reflector code.It is proposed by the present invention
Vehicle fault sign code includes word and Reflector, and specific implementation steps are：
General module segmented domain is A～L；
Intelligent object segmented domain M～T；
Networking module segmented domain is U～Z.
Wherein each word (such as A) represents a kind of attribute classification of module, and according to circumstances user can voluntarily expand and change.
Each category attribute has a series of failure problems, and the present invention specifically uses sequence with Reflector is defined as
Numeral represents that it is abnormal that C2 as shown in Figure 1 represents that vehicle rotating speed shows.In addition user can be with the basis of existing model
Failure mode is expanded.
2) T-BOX vehicle abnormality condition monitoring systems are set up, mainly including MCU, locating module and mobile communication module.Its
Middle T-BOX is connected with vehicle bus, is received by MCU and stores vehicle drive information, and MCU realizes vehicle number by high frequency sampling
According to real-time Transmission, and real time information and historical information that vehicle runs are analyzed into contrast, obtain vehicle abnormality state and believe
Breath.Locating module is used to obtain the information such as the real-time position of vehicle, speed, acceleration, carries out vehicle abnormality data monitoring
Basis.Mobile communication module is mainly responsible for T-BOX to TSP transmission abnormalities data and vehicle drive historical information, by 3G/4G nets
Network connection carries out the real-time Transmission of data, is capable of achieving the functions such as vehicle condition inquiry, the position enquiring of car two and fault diagnosis.
3) abnormal data transmitted based on T-BOX, including DTC and control parameter, carry out in TSP data fusion and
Big data is analyzed, and realizes the real-time of vehicle fault detection.Wherein TSP need to vehicle transmission driving history information (including
The control parameter and status information of all parts and system), the information of dispatching from the factory (component capabilities parameter etc.) of associated components, and T-
The vehicle abnormality status information of BOX real-time Transmissions carries out data fusion and data analysis, especially by vehicle drive history letter
Ceasing the performance parameter to a certain part carries out life cycle forecast analysis, and the given abnormal data of binding time axle, using many
Intelligent body analytical technology, using multiple agent analytical technology the abnormal data characteristic attribute of detection is determined, is then based on what is set up
Vehicle trouble tree-model, by abnormal data Feature Mapping relation corresponding fault message is determined.
4) for the vehicle trouble messages of TSP real-time detections, with reference to the vehicle trouble tree-model set up, obtain vehicle and occur
Failure cause, determines that fault category is belonging to function reason or information security.Such as it is vehicle functions failure, needs by long-range
Service system notifies user with note or telephony modalities, and performs related operation according to the control instruction of user feedback.Such as it is
Information of vehicles safety, needs the protecting information safety that vehicle is carried out by T-BOX, as shown in Figure 2.
5) vehicle abnormality data are caused due to information security issue, need to carry out protecting information safety by T-BOX.
Signature analysis is carried out by the failure cause caused to information security issue, specifically lead to multipair vehicle bus message type,
The information such as length, entity are analyzed and feature extraction, based on common information threat such as malicious code attack, deceptive information
The factors such as invasion, interference information impact carry out signature analysis and implementation method parsing.Based on vehicle drive historical information, by spy
Levy model mapping relations and determine fault message message characteristic, such as Modular Data increase, the super logicality of abnormal data, data
Situations such as disappearance mess code, as shown in Figure 3.For the abnormal data information of different characteristic, need to be arranged using different information processings
Apply, such as filter, shielding, data recovery method, it is ensured that at utmost, minimal consumption, maximally efficient solve information security and make
Into abnormal data affect.
It is important for those still unascertainable fault categories, it is necessary first to abnormal data is shielded and is filtered
Information needs to carry out data prediction analysis by TSP, and abnormal data is realized to recover.Then for the feature of the abnormal data is entered
Row backup is simultaneously stored in the abnormal data feature database of foundation, and by the feature interpretation to the data current database is improved, real
The self-learning capability of existing abnormal data feature, and the property data base after study is constantly fed back into fault signature analysis module,
Ensure the real-time and accuracy of vehicle trouble analysis, the protecting information safety of vehicle is realized to greatest extent.
Above several steps describe the specific implementation step of patent of the present invention in detail, and are monitored as base with T-BOX abnormal datas
Plinth, by TSP multi-source data analysis vehicle real-time fault detection is realized, foundation completes to include vehicle functions failure defense and with T-
BOX is the information of vehicles Security mechanism of carrier.Simultaneously a kind of general vehicle trouble is established using FTA
Tree-model, it is ensured that the applicability of car fault diagnosis with it is comprehensive.Using cloud platform data fusion and big data forecast analysis
Method can accurately realize the fault detect of vehicle abnormality data, and be accurately positioned vehicle functions failure and ask safely with information of vehicles
Topic.T-BOX fault signature analysis method is adopted to provide a method that for vehicle-mounted end protecting information safety, and it is real-time,
With fault signature self-learning capability, the continuous upgrading of the preventing mechanism can be realized.
Claims (5)
1. a kind of detection of T-BOX information securities and means of defence based on vehicle abnormality data monitoring, it is characterised in that include with
Lower step：
1) first classification summary is carried out to vehicle trouble, a kind of general vehicle trouble tree mould is set up using FTA
Type；
2) collection and contrast by T-BOX vehicle abnormalities condition monitoring system to vehicle real time data, to vehicle abnormality data
Real-time monitoring is carried out, and is constantly sent to remote service platform (TSP)；
3) TSP sends relevant information call instruction by according to the abnormal information for sending to respective hosts factory, calls the vehicle failure
The information of dispatching from the factory of part, then TSP carries out data fusion by the data collected and big data is analyzed, and determines vehicle all parts
And the operational factor and the variation tendency of state of system, it is then different with the vehicle that T-BOX vehicle abnormalities condition monitoring system sends
Often status information is analyzed contrast, judges vehicle currently with the presence or absence of abnormal data, then based on the vehicle trouble tree mould set up
Type determines that automobile belongs to vehicle functions failure or information security issue, if attacked by information security；
4) for the failure problems that vehicle functions are caused safely, by TSP user and vehicle are pointed out or is reported to the police；For letter
The vehicle trouble problem that breath safety is caused, carries out including shielding, filters or recovery according to information characteristics attribute to abnormal data
In interior operation, and vehicle abnormality information characteristics database is set up, same or analogous information attack is entered by feature learning
The a certain degree of information of vehicles security protection of row.
2. the detection of T-BOX information securities and means of defence based on vehicle abnormality data monitoring according to claim 1, its
It is characterised by, the T-BOX vehicle abnormalities condition monitoring system, mainly including MCU, locating module and mobile communication module, its
Middle T-BOX is connected with vehicle bus, is received by MCU and stores vehicle drive information, and MCU realizes vehicle number by high frequency sampling
According to real-time Transmission, and real time information and historical information that vehicle runs are analyzed into contrast, obtain vehicle abnormality state and believe
Breath, locating module is used to obtain including the information including the real-time position of vehicle, speed, acceleration, is to carry out vehicle abnormality number
According to the basis of monitoring, mobile communication module is mainly responsible for T-BOX to TSP transmission abnormalities data and vehicle drive historical information, leads to
Crossing 3G/4G network connections carries out the real-time Transmission of data, is capable of achieving to include that vehicle condition inquiry, vehicle location inquiry and fault diagnosis exist
Interior function.
3. the detection of T-BOX information securities and means of defence based on vehicle abnormality data monitoring according to claim 1, its
It is characterised by, for still unascertainable failure cause, need TSP to send relevant information call instruction to T-BOX, vehicle passes through
T-BOX calls the message information of vehicle current operating conditions to bus, then feeds back to TSP, and by expert system depth is carried out
Analysis and data mining, determine the characteristic attribute of the abnormal state information, then are determined based on the vehicle trouble tree-model set up
Go out corresponding fault message, and this kind of abnormal state information is stored in TSP knowledge bases, carry out car fault diagnosis
Automatic measure on line.
4. the detection of T-BOX information securities and means of defence based on vehicle abnormality data monitoring according to claim 1, its
It is characterised by, the vehicle includes orthodox car, intelligent automobile and net connection automobile.Vehicle fault detection part includes Universal Die
Block, intelligent object and net gang mould block, are realizing that functionally corresponding is that orthodox car, intelligent automobile and net join automobile, but right
It is a kind of method of vehicle abnormality data monitoring that a kind of requirement gives, and the concrete type of vehicle for covering is not restricted to currently
Listed car type, other car types such as electric automobile, freight, bus, light rail etc. can be according to different characteristics in the monitoring body set up
Modify and expand under system, to meet different application needs.
5. information of vehicles safety protecting method according to claim 1, it is characterised in that to identified vehicle abnormality number
Contrast is analyzed according to historical data, if vehicle abnormality data have Modular Data increase, illustrates that the data are by attacking
Some deceptive information of the person's of hitting injection are caused, then needs are filtered to the data；If there is operation in vehicle abnormality data
The super logicality of parameter and status information, illustrates that data person's under attack distorts operation, then needs are carried out to the data
Shielding；If vehicle abnormality data have shortage of data or mess code in interior situation, illustrate that the data are subject to malicious attack or disease
In interior situation, this needs is shielded to the data for poison invasion, while Correlative data analysis and prediction are carried out by TSP, it is real
The now recovery reduction of the data；If being not admitted to case above, illustrate to suffer that other are attacked or invasion mode, need to this
Data are marked and are sent to TSP, based on the vehicle trouble tree-model set up, carry out data fusion and status information analysis is pre-
Survey, recovery reduction is carried out to abnormal data distorted portion, then feed back to T-BOX, and the abnormal data is stored in into abnormal number
According to feature database, be easy to study and prediction of the system to this feature, can directly carry out in the attack of same type afterwards shielding and
Filter.
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| CN109005147A (en) * | 2017-06-07 | 2018-12-14 | 罗伯特·博世有限公司 | The method for protecting vehicle network for avoiding the data being manipulated from transmitting |
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