CN113271587A - Internet of things credible authentication system for vehicle - Google Patents
Internet of things credible authentication system for vehicle Download PDFInfo
- Publication number
- CN113271587A CN113271587A CN202110652570.9A CN202110652570A CN113271587A CN 113271587 A CN113271587 A CN 113271587A CN 202110652570 A CN202110652570 A CN 202110652570A CN 113271587 A CN113271587 A CN 113271587A
- Authority
- CN
- China
- Prior art keywords
- vehicle
- authentication
- mounted terminal
- information
- internet
- 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.)
- Granted
Links
- 238000004891 communication Methods 0.000 claims abstract description 34
- 238000000034 method Methods 0.000 claims description 38
- 238000012795 verification Methods 0.000 claims description 34
- 230000009471 action Effects 0.000 claims description 31
- 230000000007 visual effect Effects 0.000 claims description 19
- 238000004364 calculation method Methods 0.000 claims description 16
- 238000012545 processing Methods 0.000 claims description 16
- 230000002159 abnormal effect Effects 0.000 claims description 15
- 230000005540 biological transmission Effects 0.000 claims description 14
- 230000008569 process Effects 0.000 claims description 13
- 230000001360 synchronised effect Effects 0.000 claims description 13
- 238000010606 normalization Methods 0.000 claims description 9
- 238000004458 analytical method Methods 0.000 claims description 8
- 238000005516 engineering process Methods 0.000 claims description 8
- 230000006698 induction Effects 0.000 claims description 7
- 230000003068 static effect Effects 0.000 claims description 6
- 230000008030 elimination Effects 0.000 claims description 3
- 238000003379 elimination reaction Methods 0.000 claims description 3
- 238000000605 extraction Methods 0.000 claims description 3
- 230000011218 segmentation Effects 0.000 claims description 3
- 230000008054 signal transmission Effects 0.000 claims description 3
- 230000004913 activation Effects 0.000 claims description 2
- 238000005259 measurement Methods 0.000 claims 1
- 238000005070 sampling Methods 0.000 description 8
- 238000012360 testing method Methods 0.000 description 8
- 230000033001 locomotion Effects 0.000 description 6
- 108700041286 delta Proteins 0.000 description 4
- 238000011161 development Methods 0.000 description 3
- 230000018109 developmental process Effects 0.000 description 3
- 238000006243 chemical reaction Methods 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000006073 displacement reaction Methods 0.000 description 2
- 230000001815 facial effect Effects 0.000 description 2
- 238000009432 framing Methods 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 238000013475 authorization Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W12/00—Security arrangements; Authentication; Protecting privacy or anonymity
- H04W12/009—Security arrangements; Authentication; Protecting privacy or anonymity specially adapted for networks, e.g. wireless sensor networks, ad-hoc networks, RFID networks or cloud networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/20—Movements or behaviour, e.g. gesture recognition
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y30/00—IoT infrastructure
- G16Y30/10—Security thereof
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W12/00—Security arrangements; Authentication; Protecting privacy or anonymity
- H04W12/06—Authentication
-
- 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]
Landscapes
- Engineering & Computer Science (AREA)
- Computer Security & Cryptography (AREA)
- Signal Processing (AREA)
- Computer Networks & Wireless Communication (AREA)
- Psychiatry (AREA)
- Social Psychology (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Computing Systems (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses an internet of things credible authentication system for vehicles, which comprises a vehicle-mounted terminal and a server side, wherein the vehicle-mounted terminal is connected with the server side through a network; the system comprises a vehicle self-acquisition module, a traffic information acquisition module, a service end and a vehicle terminal, wherein the vehicle self-acquisition module is connected with the single chip microcomputer in a serial port communication mode; the vehicle self-acquisition module comprises a plurality of infrared cameras and at least one sound sensor; through the combination of vehicle authentication and personal identification authentication, the robustness of a credible authentication system is ensured, the safety and the user experience are improved, a fake intruder is effectively prevented from entering the vehicle system, vehicle data resources are stolen, and the vehicle authentication system is safer and more stable.
Description
Technical Field
The invention belongs to the field of vehicle credibility authentication, and particularly relates to an internet of things credibility authentication system for vehicles.
Background
The vehicle credibility authentication is a process of identity confirmation of a vehicle, a person or a process, and determines whether to allow the vehicle, the person or the process to access related resources, so that the controllability of authorization of system resources is realized, the attack behavior of a user imitating a legal identity is effectively prevented, and the access safety of a vehicle system and the reasonable configuration of data resources are ensured; at present, the internet of vehicles realizes dynamic data analysis and judgment based on a huge resource library, the openness of network access requires that vehicles provide a safer protection mechanism, and identity authentication is an important technical means of intention.
The existing vehicles are rarely provided with identity authentication systems, and a small number of vehicle-mounted systems or vehicle authentication systems only adopt a password form to carry out identity authentication, so that the vehicle authentication system is easy to forge by people and causes vehicle resource loss; at present, biological characteristics are adopted for authentication, but single physiological characteristics such as face identification, voiceprint identification, fingerprint identification and the like are mostly adopted, although the single physiological characteristics have uniqueness, the characteristic data difference is easily caused due to the single characteristic data and the influence of external factors, so that the identification accuracy is poor, and the identification efficiency is low; meanwhile, the existing vehicle identification basically adopts license plate number identification or frame number identification, and adopts GPS for positioning, so that the anti-counterfeiting capability is poor, the identification and positioning deviation is large, and the safety of a vehicle system is poor.
Chinese patent application No. 201010200314.8 discloses a vehicle authentication method, apparatus and system. The vehicle authentication method and the vehicle authentication device can effectively authenticate the vehicle and cannot cause inconvenience to a vehicle owner. The method comprises the following steps: receiving a starting signal sent by a road side unit; acquiring identification information in a tamper-evident electronic tag fixed on a vehicle; and authenticating the vehicle according to the identification information in the anti-dismantling electronic tag. According to the technical scheme, the vehicle is authenticated through the anti-dismantling electronic tag, the authentication system is single, the system safety coefficient is low, the authentication error is large, and improvement is needed.
Chinese patent application No. 202010480066.0 discloses a vehicle authentication method, apparatus, electronic device, and storage medium, the method comprising: acquiring a video image of a target vehicle matched with a target starting instruction, wherein the target starting instruction comprises target authentication information; determining confidence degrees of each frame of target image under a plurality of vehicle visual angles respectively based on the vehicle characteristics corresponding to the target vehicle in each frame of target image; determining information to be authenticated corresponding to the video image based on the confidence degrees of each frame of target image under a plurality of vehicle visual angles; and if the information to be authenticated is matched with the target authentication information, determining that the target vehicle passes the authentication. The technical scheme only carries out authentication through shooting, and has the advantages of small authentication difficulty, low safety and weak anti-counterfeiting capability.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to provide an internet of things credible authentication system for vehicles, which is used for improving the reliability and safety of the authentication system by combining the development and application of intelligent transportation and the credible authentication system on the basis of the internet of things; the accuracy of vehicle positioning is improved by combining the set positioning method set by the positioning system with the set internet of things, and the vehicle authentication efficiency and the accuracy of vehicle authentication are further improved; the method for credible authentication of the characters is integrated through the technology of the Internet of things, credible calculation is carried out through various physiological characteristics of the characters, the accuracy of credible authentication is increased, the personal authentication efficiency is improved, the risks of forged evidence authentication and attack of the system are reduced, and the security level of the system is higher; through the combination of vehicle authentication and personal identification authentication, the robustness of a credible authentication system is ensured, the safety and the user experience are improved, a fake intruder is effectively prevented from entering the vehicle system, vehicle data resources are stolen, and the vehicle authentication system is safer and more stable.
The invention provides the following technical scheme:
an internet of things credible authentication system for vehicles comprises a vehicle-mounted terminal and a server side; the system comprises a vehicle self-acquisition module, a traffic information acquisition module, a service end and a vehicle terminal, wherein the vehicle self-acquisition module is connected with the single chip microcomputer in a serial port communication mode; the vehicle self-acquisition module comprises a plurality of infrared cameras and at least one sound sensor, and the infrared cameras and the sound sensor are connected with the single chip microcomputer through the arranged data acquisition module;
the information acquisition end corresponds to an induction layer of the Internet of things, is a data source of the whole system and acquires authentication information and vehicle running information in real time; the server corresponds to a transmission layer of the Internet of things, and the transmission layer transmits data acquired by the induction layer to the vehicle-mounted terminal after the data is analyzed and processed by the single chip microcomputer and the cloud server; the vehicle-mounted terminal corresponds to an application layer of the Internet of things, the vehicle-mounted terminal receives data information analyzed by the transmission layer, the data information is stored in the information base through the single chip microcomputer, correct authentication information is confirmed through authentication information comparison, and the use safety of a vehicle network system is improved.
Preferably, the traffic information acquisition module comprises a signal lamp, an RFID sensor, a camera and a GPS receiver; the signal lamp is a signal lamp integrating a GPRS communication and calculation module and sends digital signal information, road traffic guidance information and road condition information to the vehicle-mounted terminal; the vehicle is provided with a unique identification tag, and the identification tag and the RFID sensors arranged on two sides of the road are used for signal transmission to identify the vehicle.
Preferably, the vehicle-mounted terminal obtains accurate position information of the vehicle through a camera, a signal lamp and an RFID sensor of the road system through a GPS receiver, the accurate position information is used as an anchor node in a network, and the vehicle is accurately positioned in the running process based on a distance measuring technology; the current position information of the vehicle is provided, the position of the vehicle is determined, the identity of the vehicle is conveniently authenticated, the soundness of a credible authentication system is improved, and the network attack is prevented.
Preferably, when the vehicle self-acquisition module acquires authentication data, the vehicle self-acquisition module acquires voiceprint and three-dimensional pronunciation action data information, analyzes and processes the voiceprint and three-dimensional pronunciation action data information, integrates different physiological characteristics, and comprehensively identifies and authenticates the identity of a person, so that the safety is high.
Preferably, the method for authenticating the vehicle self-collection module includes: the method comprises the steps of audio-visual synchronous segmentation, abnormal value elimination, lip track extraction, static lip calculation, relative lip action calculation, level normalization processing and component analysis, and a static visual feature authentication result is obtained.
Preferably, the cloud server wireless communication adopts a communication connection established between the GPRS communication module and the vehicle-mounted terminal, the vehicle-mounted terminal carries out communication through an RS232 interface, and sends an AT instruction to operate the GPRS communication module to carry out data baud rate setting, PDP context activation and GPRS gateway setting operation; the wireless communication supports the network transmission form of GPRS and adopts the fixed IP of a public network.
Preferably, the vehicle self-acquisition module, the single chip microcomputer and the vehicle-mounted terminal complete the authentication of the vehicle to the person; and the positioning and authentication of the vehicle are completed through the traffic information acquisition, the cloud server and the vehicle-mounted terminal.
Preferably, the authentication system is based on a digital certificate authentication mode.
Preferably, the vehicle self acquisition module adopts a multi-channel parallel AD conversion module, specifically, an AD7779 acquisition chip can be adopted, an AD7770 chip is an 8-channel and 24-bit synchronous sampling ADC, and the sampling rate resolution is high by 15.2 multiplied by 10−6And the SPS has high sampling accuracy and accurate sampling.
Preferably, the vehicle self-acquisition module comprises a sound sensor and an infrared camera, personal sound data and three-dimensional pronunciation visual data acquired by the sound sensor and the infrared camera are transmitted to a Zigbee gateway through a Zigbee network, converted into data and information conforming to a TCP/IP protocol and transmitted to the vehicle-mounted terminal through serial port communication, and voiceprint identity verification and three-dimensional pronunciation visual number verification are performed through an information base built in the single chip microcomputerAnd analyzing and verifying to obtain a verification result. The vehicle position real-time information acquired by the signal lamp, the RFID sensor, the camera and the GPS receiver anchor node is analyzed and processed through the cloud server, the analysis data is transmitted to the Zigbee gateway through the Zigbee network, the analysis data is converted into data and information which accord with a TCP/IP protocol and transmitted to the vehicle-mounted terminal through GPRS communication, the vehicle is positioned through the positioning method, the vehicle identity is conveniently authenticated, and the soundness of a credible authentication system is improved. When a vehicle is positioned, the vehicle is sensed through any anchor node of an intelligent signal lamp, an RFID sensor, a camera and a GPS receiver, the vehicle and the vehicle generate relative displacement, two wireless signal receivers are arranged on the vehicle, the position of the vehicle is determined by monitoring the signal frequency difference of wireless radio frequency, and specifically, the S position of any anchor node of the intelligent signal lamp, the RFID sensor, the camera and the GPS receiver is set to be S (x)n,yn,zn) Wherein n =1,2,3 · · and the moving vehicle position is set as Y (x, Y, z), then the angle between the line of Y and S and the direction v of vehicle movement is θtWhere t denotes an angle between different positions, t =0,1,2 ·, the frequency difference f received at the mobile vehicle position Y is satisfied, f = v/λ (cos θ ·)1- cosθ0) In the above formula, λ is the frequency wavelength, and a group of frequency differences f is obtained by measuring the frequency differences for multiple timess= f + m, where m is the noise value, by pairing fsThe iterative solution is carried out, the real-time position of the mobile vehicle Y can be obtained, the positioning authentication of the vehicle is completed in the mode, the positioning accuracy is high, the positioning and sensing accuracy of the vehicle network is improved, the positioning error is reduced, and the safety of the vehicle authentication is improved through the mutual cooperation of the intelligent signal lamp, the RFID sensor, the camera, the GPS receiver and the mobile vehicle.
In addition, the processing steps of the sensing layer, the transmission layer and the application layer comprise: a, a traffic information acquisition module positions a vehicle by vehicle data acquired by a signal lamp, an RFID sensor, a camera and a GPS receiver anchor node and by combining a positioning technology to complete vehicle authentication; b, transmitting personal sound data and three-dimensional pronunciation visual data acquired by the sound sensor and the infrared camera to the vehicle-mounted terminal through serial port communication; c, the vehicle-mounted terminal sends a voiceprint identity request, the single chip microcomputer receives the verification request and then generates an identity verification text, the vehicle-mounted terminal receives the verification text and records the voice through the sound sensor, and the single chip microcomputer performs voice voiceprint recognition and verification to obtain a voiceprint identity verification result; d, the vehicle-mounted terminal sends a three-dimensional pronunciation action identity request, the single chip microcomputer receives the verification request and then generates an identity verification text, the vehicle-mounted terminal receives the verification text, the infrared camera shoots three-dimensional facial features while recording is carried out, three-dimensional visual data during pronunciation are obtained, the single chip microcomputer identifies and verifies the three-dimensional visual data through the information base, and meanwhile, a three-dimensional pronunciation action identity verification result is obtained by combining a voice voiceprint identification and verification result, and personal authentication is completed.
In addition, when the vehicle self-collection module authenticates the person, the method synchronously processes the collected person voice and three-dimensional voice action data, and finds out the end position in a section of voice comprises the following steps: a, cutting off a prompt tone from the recorded audio as a reference; b, performing windowing framing and short-time Fourier transform processing on the reference prompt tone and the test audio, extracting Fourier coefficient of each frame, and setting the length of the reference prompt tone as N frames, then setting the j dimension Fourier coefficient f of the ith frameijThen the Fourier coefficient e of j dimension of ith frame of the test toneij(ii) a C, taking a sliding window with the length of N frames to enable the sliding window to be positioned at the sliding audio starting position; d, intercepting Fourier coefficients of corresponding frames in the sliding window from the step B; e, calculating the correlation relation r between the sliding window and the reference prompt tone, and storing the coefficient and the corresponding position, wherein the correlation relation r satisfies the following formula r = (E)ij-e)( fij-f1)/（(eij-e)2( fij-f1)2）1/2Where e and f1 are mean values; f, moving the end position of the sliding window down by one frame, returning to the step D if the next frame is not the last frame, and otherwise, entering the next step; g, selecting a maximum value from all correlation relations, and finding out a position corresponding to the maximum value, wherein the position is the end time of the start tone in the test audio; the method obtains the ending prompt tone at the start position of the test audio and at the cut-off audioAfter the start prompt tone and the end prompt tone, the three-dimensional voice data and the voice data are synchronized in recording time, the accuracy of synchronous authentication is improved, and personal authentication errors are reduced.
In addition, when the three-dimensional voice motion data and the voice data are synchronously collected, in order to further increase the accuracy of the collected information, abnormal value repairing is carried out on the condition that data is discontinuous due to equipment burst error in the collecting process, and in the abnormal value detection based on the k nearest neighbor, the point c is detectedi,t=[xi,t, yi,t, zi,t]The expression of the outlier satisfies | ci-ci1|>φ·δi(ii) a In the above formula, ci1 is the mean of the nearest k points, δiThe time variance phi is a constant and the value range is (1-10); when k nearest neighbor point values are repaired by using different constants, the proper phi is selected, and when an abnormal value occurs, the mean value c of the nearest k points can be usedi1 instead of the original ciAnd repairing, reducing errors, and when the number of the continuous abnormal points exceeds 20, seriously damaging data, increasing repairing errors and selectively discarding the data.
In addition, camera parameters are initialized through a guide program of the infrared camera, the position of a face mark point is obtained according to a standard face model, the motion track of the lip mark point is extracted through three-dimensional visual data, and the 24-dimensional lip pronunciation action track is obtained after the obtained data are intercepted and processed. For different people speaking, the lip size is different, which causes the variation of the pronunciation action, and in order to reduce the error and increase the accuracy of the lip action, the zero mean value and variance normalization processing is carried out on the data l of the lips, wherein l satisfies l = (l-l 1)/(delta 1)1/2(ii) a In the above formula, l1 is the data average value of all sentences of the speaker, δ 1 is the variance of all sentences of the speaker, and the lip data l is normalized by the method, so that the errors and the abnormal values of lip actions of different people are reduced, the credible authentication errors of the vehicle acquisition module are reduced, and the credible authentication efficiency is improved; credible calculation is carried out through various physiological characteristics of people, the accuracy of credible authentication is increased, the personal authentication efficiency is improved, and the system is reducedThe system is authenticated by the forged evidence and is attacked, and the security level of the system is further improved.
Compared with the prior art, the invention has the following beneficial effects:
(1) the invention relates to an internet of things credible authentication system for vehicles, which is used for improving the reliability and safety of the authentication system by combining the development and application of intelligent transportation and the credible authentication system on the basis of the internet of things.
(2) According to the internet of things credible authentication system for the vehicle, the accuracy of vehicle positioning is improved through the set positioning method combining the internet of things and the positioning system, and the vehicle authentication efficiency and the accuracy of vehicle authentication are further improved.
(3) According to the Internet of things credible authentication system for the vehicle, the method for credible authentication of the character is integrated through the Internet of things technology, credible calculation is performed through various physiological characteristics of the character, the accuracy of credible authentication is improved, the personal authentication efficiency is improved, the risk that the system is authenticated by forged evidence and attacked is reduced, and the security level of the system is higher.
(4) According to the Internet of things credible authentication system for the vehicle, disclosed by the invention, the robustness of the credible authentication system is ensured through the combination of vehicle authentication and personal identification authentication, the safety and the user experience are improved, a fake intruder is effectively prevented from entering the vehicle system, the vehicle data resource is stolen, and the system is safer and more stable.
(5) The internet of things credible authentication system for the vehicle completes positioning authentication of the vehicle in a mode of frequency difference of the mobile vehicle, is high in positioning accuracy, improves the accuracy of vehicle network positioning and sensing, reduces positioning errors and improves the safety of vehicle authentication by mutual cooperation of the intelligent signal lamp, the RFID sensor, the camera, the GPS receiver and the mobile vehicle.
(6) According to the internet of things credible authentication system for the vehicle, when the vehicle self acquisition module authenticates a person, acquired person voice and three-dimensional voice action data are synchronously processed, the three-dimensional voice data and the voice data are synchronized in recording time, the accuracy of synchronous authentication is increased, and personal authentication errors are reduced.
(7) According to the internet of things credible authentication system for the vehicle, the three-dimensional voice action data is subjected to average value and variance normalization processing and normalization processing, so that errors and abnormal values of different human lip actions are reduced, credible authentication errors of a vehicle self acquisition module are reduced, and credible authentication efficiency is improved; and credible calculation is carried out through various physiological characteristics of people, so that the accuracy of credible authentication is increased, and the safety level of the system is further improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 is an overall system block diagram of the present invention.
FIG. 2 is a block diagram of the structure of the information base of the present invention.
Fig. 3 is a flow chart of the personal voice authentication system of the present invention.
FIG. 4 is a flow chart of a personal three-dimensional voice action authentication system of the present invention.
Fig. 5 is a flowchart of the audiovisual synchronization processing of the present invention.
Fig. 6 is a flow chart of the vehicle and intelligent signal lamp communication of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be described in detail and completely with reference to the accompanying drawings. It is to be understood that the described embodiments are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
The first embodiment is as follows:
as shown in fig. 1-2 and 6, an internet of things trusted authentication system for a vehicle includes a vehicle-mounted terminal and a server; the system comprises a vehicle self-acquisition module, a traffic information acquisition module, a service end and a vehicle terminal, wherein the vehicle self-acquisition module is connected with the single chip microcomputer in a serial port communication mode; the vehicle self-acquisition module comprises a plurality of infrared cameras and at least one sound sensor, and the infrared cameras and the sound sensor are connected with the single chip microcomputer through the arranged data acquisition module;
the information acquisition end corresponds to an induction layer of the Internet of things, is a data source of the whole system and acquires authentication information and vehicle running information in real time; the server corresponds to a transmission layer of the Internet of things, and the transmission layer transmits data acquired by the induction layer to the vehicle-mounted terminal after the data is analyzed and processed by the single chip microcomputer and the cloud server; the vehicle-mounted terminal corresponds to an application layer of the Internet of things, the vehicle-mounted terminal receives data information analyzed by the transmission layer, the data information is stored in the information base through the single chip microcomputer, correct authentication information is confirmed through authentication information comparison, and the use safety of a vehicle network system is improved.
The traffic information acquisition module comprises a signal lamp, an RFID sensor, a camera and a GPS receiver; the signal lamp is a signal lamp integrating a GPRS communication and calculation module and sends digital signal information, road traffic guidance information and road condition information to the vehicle-mounted terminal; the vehicle is provided with a unique identification tag, and the identification tag and the RFID sensors arranged on two sides of the road are used for signal transmission to identify the vehicle.
The vehicle-mounted terminal obtains accurate position information of the vehicle through a camera, a signal lamp and an RFID sensor of a road system through a GPS receiver, the accurate position information is used as an anchor node in a network, and the vehicle is accurately positioned in the running process based on a distance measuring technology; the current position information of the vehicle is provided, the position of the vehicle is determined, the identity of the vehicle is conveniently authenticated, the soundness of a credible authentication system is improved, and the network attack is prevented.
The cloud server wireless communication adopts a GPRS communication module to establish communication connection with a vehicle-mounted terminal, the vehicle-mounted terminal carries out communication through an RS232 interface, and sends an AT instruction to operate the GPRS communication module to set a data baud rate, activate a PDP context and set a GPRS gateway; the wireless communication supports the network transmission form of GPRS and adopts the fixed IP of a public network.
The vehicle self-acquisition module, the single chip microcomputer and the vehicle-mounted terminal complete the authentication of the vehicle to the person; positioning and authenticating the vehicle through the traffic information acquisition, the cloud server and the vehicle-mounted terminal; the authentication system is based on the identity authentication mode of a digital certificate.
The vehicle self-acquisition module adopts a multi-channel parallel AD conversion module, specifically adopts AD7779 as an AD acquisition chip, the AD7770 chip is an 8-channel and 24-bit synchronous sampling ADC, and the sampling rate resolution is high by 15.2 multiplied by 10−6And the SPS has high sampling accuracy and accurate sampling.
Example two:
as shown in fig. 3 to 5, in the first embodiment, when the vehicle self-collection module collects authentication data, the vehicle self-collection module collects voiceprint and three-dimensional pronunciation action data information and performs analysis processing, integrates different physiological characteristics, and comprehensively identifies and authenticates the identity of a person, so that the security is high.
The method for authenticating the vehicle self acquisition module comprises the following steps: the method comprises the steps of audio-visual synchronous segmentation, abnormal value elimination, lip track extraction, static lip calculation, relative lip action calculation, level normalization processing and component analysis, and a static visual feature authentication result is obtained.
The processing steps of the induction layer, the transmission layer and the application layer comprise: a, a traffic information acquisition module positions a vehicle by vehicle data acquired by a signal lamp, an RFID sensor, a camera and a GPS receiver anchor node and by combining a positioning technology to complete vehicle authentication; b, transmitting personal sound data and three-dimensional pronunciation visual data acquired by the sound sensor and the infrared camera to the vehicle-mounted terminal through serial port communication; c, the vehicle-mounted terminal sends a voiceprint identity request, the single chip microcomputer receives the verification request and then generates an identity verification text, the vehicle-mounted terminal receives the verification text and records the voice through the sound sensor, and the single chip microcomputer performs voice voiceprint recognition and verification to obtain a voiceprint identity verification result; d, the vehicle-mounted terminal sends a three-dimensional pronunciation action identity request, the single chip microcomputer receives the verification request and then generates an identity verification text, the vehicle-mounted terminal receives the verification text, the infrared camera shoots three-dimensional facial features while recording is carried out, three-dimensional visual data during pronunciation are obtained, the single chip microcomputer identifies and verifies the three-dimensional visual data through the information base, and meanwhile, a three-dimensional pronunciation action identity verification result is obtained by combining a voice voiceprint identification and verification result, and personal authentication is completed.
Example three:
on the basis of the second embodiment, the vehicle self-acquisition module comprises a sound sensor and an infrared camera, personal sound data and three-dimensional pronunciation visual data acquired by the sound sensor and the infrared camera are transmitted to a Zigbee gateway through a Zigbee network, converted into data and information which accord with a TCP/IP protocol and transmitted to the vehicle-mounted terminal through serial port communication, and voiceprint identity authentication and three-dimensional pronunciation visual data are analyzed and verified through an information base arranged in the single chip microcomputer to obtain a verification result. The vehicle position real-time information acquired by the signal lamp, the RFID sensor, the camera and the GPS receiver anchor node is analyzed and processed through the cloud server, the analysis data is transmitted to the Zigbee gateway through the Zigbee network, the analysis data is converted into data and information which accord with a TCP/IP protocol and transmitted to the vehicle-mounted terminal through GPRS communication, the vehicle is positioned through the positioning method, and the vehicle identity is conveniently authenticatedAnd the soundness of the credible authentication system is increased. When a vehicle is positioned, the vehicle is sensed through any anchor node of an intelligent signal lamp, an RFID sensor, a camera and a GPS receiver, the vehicle and the vehicle generate relative displacement, two wireless signal receivers are arranged on the vehicle, the position of the vehicle is determined by monitoring the signal frequency difference of wireless radio frequency, and specifically, the S position of any anchor node of the intelligent signal lamp, the RFID sensor, the camera and the GPS receiver is set to be S (x)n,yn,zn) Wherein n =1,2,3 · · and the moving vehicle position is set as Y (x, Y, z), then the angle between the line of Y and S and the direction v of vehicle movement is θtWhere t denotes an angle between different positions, t =0,1,2 ·, the frequency difference f received at the mobile vehicle position Y is satisfied, f = v/λ (cos θ ·)1- cosθ0) In the above formula, λ is the frequency wavelength, and a group of frequency differences f is obtained by measuring the frequency differences for multiple timess= f + m, where m is the noise value, by pairing fsThe iterative solution is carried out, the real-time position of the mobile vehicle Y can be obtained, the positioning authentication of the vehicle is completed in the mode, the positioning accuracy is high, the positioning and sensing accuracy of the vehicle network is improved, the positioning error is reduced, and the safety of the vehicle authentication is improved through the mutual cooperation of the intelligent signal lamp, the RFID sensor, the camera, the GPS receiver and the mobile vehicle.
Example four
On the basis of the second embodiment, when the vehicle self-acquisition module authenticates the person, the method for synchronously acquiring the voice of the person and the three-dimensional voice action data and finding out the end position in a section of voice comprises the following steps: a, cutting off a prompt tone from the recorded audio as a reference; b, performing windowing framing and short-time Fourier transform processing on the reference prompt tone and the test audio, extracting Fourier coefficient of each frame, and setting the length of the reference prompt tone as N frames, then setting the j dimension Fourier coefficient f of the ith frameijThen the Fourier coefficient e of j dimension of ith frame of the test toneij(ii) a C, taking a sliding window with the length of N frames to enable the sliding window to be positioned at the sliding audio starting position; d, intercepting Fourier coefficients of corresponding frames in the sliding window from the step B; e, calculating the phase between the sliding window and the reference prompt toneThe correlation r is related to the following formula r = (e), and the coefficient and the corresponding position are storedij-e)( fij-f1)/（(eij-e)2( fij-f1)2）1/2Where e and f1 are mean values; f, moving the end position of the sliding window down by one frame, returning to the step D if the next frame is not the last frame, and otherwise, entering the next step; g, selecting a maximum value from all correlation relations, and finding out a position corresponding to the maximum value, wherein the position is the end time of the start tone in the test audio; the method obtains the ending prompt tone at the start position of the test audio, and after the audio starting prompt tone and the ending prompt tone are cut off, the three-dimensional voice data and the voice data are synchronized in recording time, the accuracy of synchronous authentication is improved, and personal authentication errors are reduced.
When three-dimensional voice action data and voice data are synchronously acquired, in order to further increase the accuracy of acquired information, abnormal value repairing is carried out on the condition that data is discontinuous due to equipment burst error in the acquisition process, and in k-nearest abnormal value detection, the point c isi,t=[xi,t, yi,t, zi,t]The expression of the outlier satisfies | ci-ci1|>φ·δi(ii) a In the above formula, ci1 is the mean of the nearest k points, δiThe time variance phi is a constant and the value range is (1-10); when k nearest neighbor point values are repaired by using different constants, the proper phi is selected, and when an abnormal value occurs, the mean value c of the nearest k points can be usedi1 instead of the original ciAnd repairing, reducing errors, and when the number of the continuous abnormal points exceeds 20, seriously damaging data, increasing repairing errors and selectively discarding the data.
Initializing camera parameters through a guide program of the infrared camera, acquiring the position of a face mark point according to a standard face model, extracting the motion track of the lip mark point through three-dimensional visual data, and obtaining a 24-dimensional lip pronunciation action track after intercepting and processing the acquired data. The lip size is different for different persons, resulting in variation of pronunciation action, and the lip size is reducedError is generated, the accuracy of lip motion is improved, zero mean value and variance normalization processing is carried out on the lip data l, and l satisfies the condition that l = (l-l 1)/(delta 1)1/2(ii) a In the above formula, l1 is the data average value of all sentences of the speaker, δ 1 is the variance of all sentences of the speaker, and the lip data l is normalized by the method, so that the errors and the abnormal values of lip actions of different people are reduced, the credible authentication errors of the vehicle acquisition module are reduced, and the credible authentication efficiency is improved; the credible calculation is carried out through various physiological characteristics of the person, the accuracy of credible authentication is increased, the personal authentication efficiency is improved, the risk that the system is authenticated by counterfeit evidence and attacked is reduced, and the safety level of the system is further improved.
The device obtained by the technical scheme is an internet of things credible authentication system for vehicles, and the reliability and the safety of the authentication system are improved by combining the development and the application of intelligent traffic and the credible authentication system on the basis of the internet of things; the accuracy of vehicle positioning is improved by combining the set positioning method set by the positioning system with the set internet of things, and the vehicle authentication efficiency and the accuracy of vehicle authentication are further improved; the method for credible authentication of the characters is integrated through the technology of the Internet of things, credible calculation is carried out through various physiological characteristics of the characters, the accuracy of credible authentication is increased, the personal authentication efficiency is improved, the risks of forged evidence authentication and attack of the system are reduced, and the security level of the system is higher; by combining vehicle authentication and human body identification authentication, the robustness of a trusted authentication system is ensured, the safety and the user experience are improved, a fake intruder is effectively prevented from entering the vehicle system and stealing vehicle data resources, and the vehicle authentication system is safer and more stable; the vehicle positioning authentication is completed in a mode of frequency difference of the mobile vehicle, the positioning accuracy is high, and the vehicle network positioning and sensing accuracy is improved, the positioning error is reduced, and the safety of the vehicle authentication is improved through mutual cooperation of the intelligent signal lamp, the RFID sensor, the camera, the GPS receiver and the mobile vehicle; when the vehicle self-acquisition module authenticates a person, the acquired person voice and the three-dimensional voice action data are synchronously processed, so that the three-dimensional voice data and the voice data are synchronized in recording time, the accuracy of synchronous authentication is increased, and the person authentication error is reduced; by carrying out mean value and variance normalization processing and normalization processing on the three-dimensional voice action data, errors and abnormal values of different human lip actions are reduced, credible authentication errors of a vehicle self acquisition module are reduced, and credible authentication efficiency is improved; and credible calculation is carried out through various physiological characteristics of people, so that the accuracy of credible authentication is increased, and the safety level of the system is further improved.
Other technical solutions not described in detail in the present invention are prior art in the field, and are not described herein again.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and it will be apparent to those skilled in the art that various modifications and variations can be made in the present invention; any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. An internet of things credible authentication system for vehicles comprises a vehicle-mounted terminal and a server side; the system is characterized by further comprising an information acquisition end, wherein the information acquisition end comprises a vehicle self-acquisition module and a traffic information acquisition module, the service end comprises a single chip microcomputer and a cloud server, the vehicle self-acquisition module is connected with the single chip microcomputer in a serial port communication mode, the traffic information acquisition module is connected with the cloud server in a GPRS (general packet radio service) wireless communication mode, the single chip microcomputer is in wired connection with a vehicle-mounted terminal, and the vehicle-mounted terminal is in wireless communication with the cloud server; the vehicle self-acquisition module comprises a plurality of infrared cameras and at least one sound sensor, and the infrared cameras and the sound sensor are connected with the single chip microcomputer through the arranged data acquisition module;
the information acquisition end corresponds to an induction layer of the Internet of things, is a data source of the whole system and acquires authentication information and vehicle running information in real time; the server corresponds to a transmission layer of the Internet of things, and the transmission layer transmits data acquired by the induction layer to the vehicle-mounted terminal after the data is analyzed and processed by the single chip microcomputer and the cloud server; the vehicle-mounted terminal corresponds to an application layer of the Internet of things, the vehicle-mounted terminal receives data information analyzed by the transmission layer, the data information is stored in the information base through the single chip microcomputer, correct authentication information is confirmed through authentication information comparison, and the use safety of a vehicle network system is improved.
2. The internet of things credible authentication system for vehicles of claim 1, wherein the traffic information collection module comprises a signal lamp, an RFID sensor, a camera, a GPS receiver; the signal lamp is a signal lamp integrating a GPRS communication and calculation module and sends digital signal information, road traffic guidance information and road condition information to the vehicle-mounted terminal; the vehicle is provided with a unique identification tag, and the identification tag and the RFID sensors arranged on two sides of the road are used for signal transmission to identify the vehicle.
3. The internet of things credible authentication system for vehicles according to claim 2, characterized in that the vehicle-mounted terminal obtains accurate position information of the vehicle through a camera, a signal lamp and an RFID sensor of a road system through a GPS receiver, and the accurate position information is used as an anchor node in a network, and the vehicle is accurately positioned in the running process based on a distance measurement technology; the current position information of the vehicle is provided, the position of the vehicle is determined, the identity of the vehicle is conveniently authenticated, the soundness of a credible authentication system is improved, and the network attack is prevented.
4. The internet of things credible authentication system for vehicles according to claim 1, wherein when the vehicle self-collection module collects authentication data, the vehicle self-collection module collects voiceprint and three-dimensional pronunciation action data information and analyzes and processes the data information, integrates different physiological characteristics, and comprehensively identifies and authenticates personal identity, and is high in safety.
5. The internet of things credible authentication system for vehicles according to claim 4, wherein the process of the vehicle-mounted terminal for voiceprint authentication is as follows: the vehicle-mounted terminal sends a voiceprint identity request, the single chip microcomputer receives the verification request and then generates an identity verification text, the vehicle-mounted terminal receives the verification text, recording is carried out through the sound sensor, and the single chip microcomputer carries out voice voiceprint recognition and verification to obtain a voiceprint identity verification result.
6. The internet of things credible authentication system for vehicles according to claim 4, wherein the authentication process of the vehicle-mounted terminal on the three-dimensional pronunciation action is as follows: the vehicle-mounted terminal sends a three-dimensional pronunciation action identity request, the single chip microcomputer receives the verification request and then generates an identity verification text, the vehicle-mounted terminal receives the verification text, the three-dimensional face features are shot through the infrared camera while recording is conducted, three-dimensional visual data during pronunciation are obtained, the single chip microcomputer identifies and verifies the three-dimensional visual data through the information base, and meanwhile, a three-dimensional pronunciation action identity verification result is obtained by combining a voice voiceprint identification and verification result.
7. The internet of things trusted authentication system for the vehicle according to claim 4, wherein the method for authenticating the vehicle self-acquisition module comprises the following steps: the method comprises the steps of audio-visual synchronous segmentation, abnormal value elimination, lip track extraction, static lip calculation, relative lip action calculation, level normalization processing and component analysis, and a static visual feature authentication result is obtained.
8. The internet of things credible authentication system for vehicles according to claim 1, wherein the cloud server wireless communication adopts a GPRS communication module to establish communication connection with the vehicle-mounted terminal, the vehicle-mounted terminal performs communication through an RS232 interface, sends an AT instruction to operate the GPRS communication module to perform data baud rate setting, PDP context activation and GPRS gateway setting operation; the wireless communication supports the network transmission form of GPRS and adopts the fixed IP of a public network.
9. The internet of things credible authentication system for the vehicle as claimed in claim 1, wherein the vehicle's authentication to the person is completed through a vehicle's own acquisition module, a single chip microcomputer and a vehicle-mounted terminal; and the positioning and authentication of the vehicle are completed through the traffic information acquisition, the cloud server and the vehicle-mounted terminal.
10. The internet of things trusted authentication system for the vehicle according to claim 1, wherein the authentication system is based on an identity authentication mode of a digital certificate.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110652570.9A CN113271587B (en) | 2021-06-11 | 2021-06-11 | Internet of things trusted authentication system for vehicle |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110652570.9A CN113271587B (en) | 2021-06-11 | 2021-06-11 | Internet of things trusted authentication system for vehicle |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113271587A true CN113271587A (en) | 2021-08-17 |
| CN113271587B CN113271587B (en) | 2023-12-26 |
Family
ID=77234963
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110652570.9A Active CN113271587B (en) | 2021-06-11 | 2021-06-11 | Internet of things trusted authentication system for vehicle |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113271587B (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103499350A (en) * | 2013-09-28 | 2014-01-08 | 长安大学 | High-precision vehicle positioning method for fusing multi-source information under GPS (global positioning system) blind area and device |
| CN105792207A (en) * | 2016-04-29 | 2016-07-20 | 北京航空航天大学 | Vehicle networking authentication method facing vehicle differentiation |
| CN106790054A (en) * | 2016-12-20 | 2017-05-31 | 四川长虹电器股份有限公司 | Interactive authentication system and method based on recognition of face and Application on Voiceprint Recognition |
| CN107086996A (en) * | 2017-04-14 | 2017-08-22 | 重庆邮电大学 | Car networking safety certification device and method |
| KR20180032014A (en) * | 2016-09-21 | 2018-03-29 | 경일대학교산학협력단 | IoT security apparatus for controlling vehicle access using two-way authentication in smart car, method thereof and computer recordable medium storing program to perform the method |
| CN108512819A (en) * | 2017-02-28 | 2018-09-07 | 长城汽车股份有限公司 | Control method, system and the vehicle of vehicle |
| CN109910818A (en) * | 2019-02-15 | 2019-06-21 | 东华大学 | A kind of VATS Vehicle Anti-Theft System based on human body multiple features fusion identification |
-
2021
- 2021-06-11 CN CN202110652570.9A patent/CN113271587B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103499350A (en) * | 2013-09-28 | 2014-01-08 | 长安大学 | High-precision vehicle positioning method for fusing multi-source information under GPS (global positioning system) blind area and device |
| CN105792207A (en) * | 2016-04-29 | 2016-07-20 | 北京航空航天大学 | Vehicle networking authentication method facing vehicle differentiation |
| KR20180032014A (en) * | 2016-09-21 | 2018-03-29 | 경일대학교산학협력단 | IoT security apparatus for controlling vehicle access using two-way authentication in smart car, method thereof and computer recordable medium storing program to perform the method |
| CN106790054A (en) * | 2016-12-20 | 2017-05-31 | 四川长虹电器股份有限公司 | Interactive authentication system and method based on recognition of face and Application on Voiceprint Recognition |
| CN108512819A (en) * | 2017-02-28 | 2018-09-07 | 长城汽车股份有限公司 | Control method, system and the vehicle of vehicle |
| CN107086996A (en) * | 2017-04-14 | 2017-08-22 | 重庆邮电大学 | Car networking safety certification device and method |
| CN109910818A (en) * | 2019-02-15 | 2019-06-21 | 东华大学 | A kind of VATS Vehicle Anti-Theft System based on human body multiple features fusion identification |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113271587B (en) | 2023-12-26 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP3460697B1 (en) | Identity authentication method and apparatus | |
| CN104834849B (en) | Dual-factor identity authentication method and system based on Application on Voiceprint Recognition and recognition of face | |
| CN107590439B (en) | Target person identification and tracking method and device based on monitoring video | |
| US9171548B2 (en) | Methods and systems for speaker identity verification | |
| CN109672853B (en) | Early warning method, device and equipment based on video monitoring and computer storage medium | |
| WO2015135406A1 (en) | Method and system for authenticating biological characteristics of user | |
| US20160300050A1 (en) | Verifying a user with biometric data | |
| WO2019153404A1 (en) | Smart classroom voice control system | |
| KR102085489B1 (en) | Hybrid breath alcohol analyzing management system | |
| CN111611568A (en) | Face voiceprint rechecking terminal and identity authentication method thereof | |
| KR101724971B1 (en) | System for recognizing face using wide angle camera and method for recognizing face thereof | |
| CN109982037A (en) | Intelligent patrol detection device | |
| JP2007156974A (en) | Personal identification/discrimination system | |
| Boutellaa et al. | Audiovisual synchrony assessment for replay attack detection in talking face biometrics | |
| CN111611437A (en) | Method and device for preventing face voiceprint verification and replacement attack | |
| CN109063449B (en) | Electronic equipment unlocking method and related device based on voiceprint | |
| CN110718222A (en) | Vehicle operator authentication method based on voiceprint recognition and voice recognition | |
| CN204576520U (en) | Based on the Dual-factor identity authentication device of Application on Voiceprint Recognition and recognition of face | |
| CN113271587B (en) | Internet of things trusted authentication system for vehicle | |
| CN113347608B (en) | Internet of things trusted authentication method for vehicle | |
| CN108674367A (en) | A kind of automobile driver's vehicle control method and the system for realizing this method | |
| CN112224170A (en) | Vehicle control system and method | |
| CN214796752U (en) | Engineering vehicle identification and positioning device based on voiceprint identification and sound source positioning | |
| JP6679291B2 (en) | Applicant authentication device, authentication method, and security authentication system using the method | |
| Xie et al. | A still-to-video face verification system using advanced correlation filters |
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 | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20231123 Address after: 100102 H01, 3 / F, building 6, courtyard 6, Wangjing East Road, Chaoyang District, Beijing Applicant after: Beijing Bailong Mayun Technology Co.,Ltd. Address before: No.3066, east section of Renmin Road, Shanyang District, Jiaozuo City, Henan Province Applicant before: JIAOZUO University |
|
| TA01 | Transfer of patent application right | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |