CN113271587B - Internet of things trusted authentication system for vehicle - Google Patents
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- 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
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Abstract
The invention discloses an internet of things trusted authentication system for a vehicle, which comprises a vehicle-mounted terminal and a server side; the system comprises a vehicle terminal, a cloud server, a vehicle self-acquisition module, a traffic information acquisition terminal, a service terminal and a GPRS wireless communication mode, wherein the vehicle self-acquisition module and the cloud server are connected 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 trusted authentication system is ensured, the safety and the user experience are improved, the counterfeit intruder is effectively prevented from entering the vehicle system, the 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 credible authentication, and particularly relates to an internet of things credible authentication system for a vehicle.
Background
The vehicle credibility authentication is the process of identity confirmation on the vehicle, person or process, and decides whether to allow the vehicle, person or process to access related resources, so that the manageability and controllability of the authorization of system resources are realized, the attack behavior of a fake legal identity user 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 is based on a huge resource library to realize dynamic data analysis and discrimination, the openness of network access requires vehicles to provide a safer protection mechanism, and identity authentication is an important technical means.
The existing vehicles have few identity authentication systems, a small number of vehicle-mounted systems or vehicle authentication systems only adopt the password form to carry out identity authentication, so that the vehicles are easy to forge by people, and the vehicle resource loss is caused; at present, a plurality of modes of authentication by adopting biological characteristics exist, but most of the modes adopt single physiological characteristics, such as face recognition, voiceprint recognition, fingerprint recognition and the like, and the single physiological characteristics have uniqueness, but the characteristic data difference is easy to cause due to the single characteristic data and the influence of external factors, so that the recognition accuracy is poor and the recognition efficiency is low; meanwhile, currently, license plate number recognition or frame number recognition is basically adopted for vehicle recognition, GPS is adopted for positioning, the anti-counterfeiting capability is poor, recognition positioning deviation is large, and the safety of a vehicle system is poor.
China patent application No. 201010200314.8 discloses a vehicle authentication method, device and system. The vehicle authentication method and device relate to the technical field of vehicle authentication, 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 an anti-disassembly electronic tag fixed on a vehicle; and authenticating the vehicle according to the identification information in the anti-disassembly electronic tag. The technical scheme is that 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 the 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; based on the vehicle characteristics corresponding to the target vehicle in each frame of target image, determining the confidence degrees of each frame of target image under a plurality of vehicle view angles respectively; 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 view angles respectively; 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 is only used for authentication through shooting, the authentication difficulty is small, the safety is low, and the anti-counterfeiting capability is weak.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to provide the internet of things trusted authentication system for the vehicle, which is used for improving the reliability and the safety of the authentication system by combining the development and the application of intelligent traffic and the trusted authentication system on the basis of the internet of things; the accuracy of vehicle positioning is improved by combining the set internet of things with the positioning method set by the positioning system, and the vehicle authentication efficiency and the accuracy of vehicle authentication are further improved; the method for authenticating the person credibility is integrated through the internet of things technology, the credibility calculation is carried out through various physiological characteristics of the person, the accuracy of the credibility authentication is improved, the personal authentication efficiency is improved, the risks of the system being authenticated by fake evidence and being attacked 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 trusted authentication system is ensured, the safety and the user experience are improved, the counterfeit intruder is effectively prevented from entering the vehicle system, the vehicle data resources are stolen, and the vehicle authentication system is safer and more stable.
The invention provides the following technical scheme:
the internet of things trusted authentication system for the vehicle comprises a vehicle-mounted terminal and a server; the system comprises a vehicle terminal, a cloud server, a vehicle self-acquisition module, a traffic information acquisition terminal, a service terminal and a GPRS wireless communication mode, wherein the vehicle self-acquisition module and the cloud server are connected 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 singlechip through the set 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 driving 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 sensing layer to the vehicle-mounted terminal after being analyzed and processed by the singlechip and the cloud server; the vehicle terminal corresponds to an application layer of the Internet of things, receives the data information analyzed by the transmission layer, stores the data information into an information base through the singlechip, confirms correct authentication information through authentication information comparison, and improves the use safety of a vehicle network system.
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 GPRS communication and calculation modules, and digital signal information, road traffic guiding information and road condition information are sent to the vehicle-mounted terminal; the vehicle is provided with a unique identification tag, and the identification tag carries out signal transmission with RFID sensors arranged at two sides of the road to identify the vehicle.
Preferably, the vehicle-mounted terminal obtains accurate position information of the vehicle through a GPS receiver by a camera, a signal lamp and an RFID sensor of the highway system, 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 ranging technology; the vehicle current position information is provided, the vehicle position is determined, the vehicle identity is conveniently authenticated, the soundness of a trusted authentication system is increased, and the network attack is prevented.
Preferably, when the vehicle self-acquisition module acquires authentication data, the voice print and three-dimensional pronunciation action data information are acquired, analyzed and processed, different physiological characteristics are fused, and the personal identity is comprehensively identified and authenticated, so that the safety is high.
Preferably, the method for authenticating the vehicle self-collection module comprises the following steps: and synchronously cutting the audio and video, removing abnormal values, extracting a lip track, calculating a static lip, calculating relative lip actions, carrying out level normalization processing and component analysis to obtain a static visual characteristic authentication result.
Preferably, the cloud server establishes communication connection between the GPRS communication module and the vehicle-mounted terminal, the vehicle-mounted terminal communicates through an RS232 interface, and sends an AT instruction to operate the GPRS communication module to set the data baud rate, activate the PDP context and set the GPRS gateway; the wireless communication supports the network transmission form of GPRS, and adopts the fixed IP of public network.
Preferably, the authentication of the vehicle to the person is completed through a vehicle self-acquisition module, a singlechip and a vehicle-mounted terminal; and positioning and authentication of the vehicle are completed through traffic information acquisition, a cloud server and a vehicle-mounted terminal.
Preferably, the authentication system is based on an identity authentication mode of the digital certificate.
Preferably, the vehicle self-acquisition module adopts a multichannel parallel AD conversion module, specifically, an AD7779 (analog-to-digital) acquisition chip can be adopted, the AD7770 chip is an 8-channel 24-bit synchronous sampling ADC (analog-to-digital converter), and the resolution of the sampling rate is 15.2 multiplied by 10 −6 SPS, sampling accuracy is high, and the sampling is accurate.
Preferably, the vehicle self-acquisition module comprises a sound sensor and an infrared camera, personal sound data and three-dimensional sounding visual data acquired by the sound sensor and the infrared camera are transmitted to a Zigbee gateway through a Zigbee network, are converted into data and information conforming to a TCP/IP protocol, are transmitted to the vehicle-mounted terminal through serial port communication, and are analyzed and verified through a built-in information base of the singlechip 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, analysis data is transmitted to the Zigbee gateway through the Zigbee network, the analysis data is converted into data and information which accord with the TCP/IP protocol, the data and the information are transmitted to the vehicle-mounted terminal through GPRS communication, the vehicle is positioned through a positioning method, the identity of the vehicle is conveniently authenticated, and the soundness of a trusted authentication system is improved. When the vehicle is positioned, any anchor node of the intelligent signal lamp, the RFID sensor, the camera and the GPS receiver is used for sensing the vehicle, the vehicle and the vehicle are relatively displaced, 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 frequencies, and specifically, the intelligent signal lamp, the RFID sensor, the camera and the GPS receiver are setAny anchor node S of the receiver has S (x n ,y n ,z n ) Where n=1, 2,3, the moving vehicle position is set to Y (x, Y, z), then the angle between the line connecting Y and S and the direction v of vehicle movement is θ t Where t represents the angle of the different positions, t=0, 1,2, the frequency difference f received by the moving vehicle position Y is satisfied, f=v/λ (cos θ 1 - cosθ 0 ) Lambda is the frequency wavelength, and a group of frequency difference values f are obtained by measuring the frequency difference values for a plurality of times s =f+m, where m is the noise value, by applying a noise to f s The real-time position of the mobile vehicle Y can be obtained by iterative solution, positioning authentication of the vehicle is completed in the mode, positioning accuracy is high, positioning and sensing accuracy of a vehicle network is improved through mutual cooperation of an intelligent signal lamp, an RFID sensor, a camera, a GPS receiver and the mobile vehicle, positioning errors are reduced, and safety of vehicle authentication is improved.
In addition, the processing steps of the sensing layer, the transmission layer and the application layer comprise: a, a traffic information acquisition module acquires vehicle data through a signal lamp, an RFID sensor, a camera and a GPS receiver anchor node, and positions the vehicle by combining a positioning technology to finish vehicle authentication; b, transmitting the personal sound data and the three-dimensional pronunciation visual data acquired by the sound sensor and the infrared camera to the vehicle-mounted terminal through serial communication; c, the vehicle-mounted terminal sends a voiceprint identity request, the singlechip receives the verification request and then generates an identity verification text, the vehicle-mounted terminal receives the verification text, records a sound through the sound sensor, and the singlechip 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 singlechip receives the verification request and then generates an identity verification text, the vehicle-mounted terminal receives the verification text, the three-dimensional feature of the face is shot through the infrared camera while recording, three-dimensional visual data during pronunciation is obtained, the singlechip identifies and verifies the three-dimensional visual data through the information base, and meanwhile, the three-dimensional pronunciation action identity verification result is obtained by combining voice voiceprint identification and verification results, so that personal authentication is completed.
In addition, the vehicle self-collection module pairWhen the person authenticates, the collected person voice and three-dimensional voice action data are synchronously processed, and the method for finding out the end position in one section of voice comprises the following steps: a, cutting off a section of prompt tone from recorded audio as a reference; b, carrying out windowing, framing and short-time Fourier transform processing on the reference cue tone and the test audio, extracting the Fourier coefficient of each frame, and setting the length of the reference cue tone as N frames, so that the Fourier coefficient f of the j dimension of the i frame is obtained ij Fourier coefficient e of the j-th dimension of the i-th frame of the test tone ij The method comprises the steps of carrying out a first treatment on the surface of the C, taking a sliding window with the length of N frames, and enabling the sliding window to be positioned at a sliding audio starting position; d, intercepting Fourier coefficients of corresponding frames in the sliding window from the step B; e, calculating a correlation r between the sliding window and the reference prompt tone, and storing the coefficient and the corresponding position, wherein the correlation r satisfies the following formula r= (E) ij -e)( f ij -f1)/（(e ij -e) 2 ( f ij -f1) 2 ） 1/2 Wherein e and f1 are the average values; f, moving the end position of the sliding window downwards by one frame, returning to the step D again if the next frame is not the last frame, otherwise, entering the next step; g, selecting the maximum value from all the correlation relations, and finding out the position corresponding to the maximum value, wherein the position is the starting sound ending time in the test audio; the method has the advantages that the ending prompt tone is obtained at the starting position of the test audio frequency, after the audio frequency is cut off to start the prompt tone and the ending prompt tone, the synchronization of the three-dimensional voice data and the voice data in the recording time is realized, the accuracy of synchronous authentication is improved, and the personal authentication error is reduced.
In addition, when three-dimensional voice action data and voice data are synchronously acquired, in order to further increase the accuracy of acquired information, abnormal value restoration is performed on the condition that data are discontinuous due to equipment burst errors in the acquisition process, and in abnormal value detection based on k nearest neighbor, point c i,t =[x i,t , y i,t , z i,t ]The outlier expression satisfies |c i -c i 1|>φ·δ i The method comprises the steps of carrying out a first treatment on the surface of the In the above, c i 1 is the mean value of the nearest k points, delta i Time variance, phi is a constant, and the value range is (1-10); when different constants are used for the k nearest neighbor pointWhen repairing the value, selecting proper phi, when an abnormal value appears, using the average value c of k nearest points i 1 replaces the original c i And repairing is carried out, errors are reduced, when the number of continuous abnormal points exceeds 20, the data is seriously damaged, the repairing errors are increased, and the data is selectively discarded.
In addition, the camera parameters are initialized through a guide program carried by the infrared camera, the positions of the face mark points are obtained according to a standard face model, the motion trail of the lip mark points is extracted through three-dimensional visual data, and after the obtained data are intercepted and processed, the 24-dimensional lip pronunciation action trail is obtained. For different people speaking different lips, the pronunciation action variation is caused, in order to reduce the error and increase the accuracy of the lip action, zero mean and variance normalization processing is carried out on the to-lip data l, and l satisfies l= (l-l 1)/(delta 1) 1/2 The method comprises the steps of carrying out a first treatment on the surface of the In the above formula, l1 is the data average value of all sentences of a speaker, delta 1 is the variance of all sentences of the speaker, and the lip data l is normalized by the method, so that errors and abnormal values of different lip movements of a human mouth are reduced, the credible authentication error of a vehicle acquisition module is reduced, and the credible authentication efficiency is improved; the trusted computing is carried out through various physiological characteristics of the person, so that the accuracy of trusted authentication is improved, the personal authentication efficiency is improved, the risks of the system being authenticated by fake evidence and being attacked are reduced, and the security level of the system is further improved.
Compared with the prior art, the invention has the following beneficial effects:
(1) The internet of things trusted authentication system for the vehicle disclosed by the invention has the advantages that the reliability and the safety of the authentication system are improved by combining the development and the application of intelligent traffic and the trusted authentication system on the basis of the internet of things.
(2) According to the internet of things trusted authentication system for the vehicle, the accuracy of vehicle positioning is improved through the set internet of things combined with the positioning method set by the positioning system, and the vehicle authentication efficiency and the vehicle authentication accuracy are further improved.
(3) According to the internet of things trusted authentication system for the vehicle, the internet of things technology is used for fusing the method of trusted authentication of the person, the trusted computing is carried out through various physiological characteristics of the person, the accuracy of the trusted authentication is improved, the personal authentication efficiency is improved, the risks of the system being authenticated by fake evidence and being attacked are reduced, and the security level of the system is higher.
(4) According to the internet of things trusted authentication system for the vehicle, through combination of vehicle authentication and personal identification authentication, the robustness of the trusted authentication system is guaranteed, the safety and the user experience are improved, counterfeit intruders are effectively prevented from entering the vehicle system, vehicle data resources are stolen, and the system is safer and more stable.
(5) According to the internet of things trusted authentication system for the vehicle, positioning authentication of the vehicle is completed in a mode of frequency difference of the moving vehicle, positioning accuracy is high, positioning and sensing accuracy of the vehicle network is improved, positioning errors are reduced, and safety of vehicle authentication is improved through mutual cooperation of the intelligent signal lamp, the RFID sensor, the camera, the GPS receiver and the moving vehicle.
(6) According to the internet of things trusted authentication system for the vehicle, when the vehicle self-acquisition module authenticates a person, the acquired person voice and three-dimensional voice action data are synchronously processed, so that the synchronization of the three-dimensional voice data and the voice data in recording time is realized, the accuracy of synchronous authentication is improved, and the person authentication error is reduced.
(7) According to the internet of things trusted authentication system for the vehicle, the three-dimensional voice action data are subjected to average value and variance normalization processing, so that errors and abnormal values of actions of different lips are reduced, the trusted authentication error of a vehicle acquisition module is reduced, and the trusted authentication efficiency is improved; the credible calculation is carried out through various physiological characteristics of the person, so that the accuracy of credible authentication is improved, and the security 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 needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some examples of the present invention and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is an overall system block diagram of the present invention.
Fig. 2 is a block diagram of the information base structure of the present invention.
Fig. 3 is a flowchart of a personal voice authentication system of the present invention.
Fig. 4 is a flow chart of the human three-dimensional voice action authentication system of the present invention.
Fig. 5 is a flowchart of the audio-visual synchronization processing of the present invention.
Fig. 6 is a flow chart of the communication between a vehicle and a smart signal lamp according to 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 clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It will be apparent that the described embodiments are some, but not all, of the embodiments of the invention. All other embodiments, based on the embodiments of the invention, which are apparent to those of ordinary skill in the art without inventive faculty, are intended to be within the scope of the invention.
Thus, the following detailed description of the embodiments of the invention, as 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, based on the embodiments of the invention, which are apparent to those of ordinary skill in the art without inventive faculty, are intended to be within the scope of the invention.
Embodiment one:
1-2 and 6, the internet of things trusted authentication system for the vehicle comprises a vehicle-mounted terminal and a server; the system comprises a vehicle terminal, a cloud server, a vehicle self-acquisition module, a traffic information acquisition terminal, a service terminal and a GPRS wireless communication mode, wherein the vehicle self-acquisition module and the cloud server are connected 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 singlechip through the set 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 driving 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 sensing layer to the vehicle-mounted terminal after being analyzed and processed by the singlechip and the cloud server; the vehicle terminal corresponds to an application layer of the Internet of things, receives the data information analyzed by the transmission layer, stores the data information into an information base through the singlechip, confirms correct authentication information through authentication information comparison, and improves the use safety of a vehicle network system.
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 GPRS communication and calculation modules, and digital signal information, road traffic guiding information and road condition information are sent to the vehicle-mounted terminal; the vehicle is provided with a unique identification tag, and the identification tag carries out signal transmission with RFID sensors arranged at two sides of the road to identify the vehicle.
The vehicle-mounted terminal obtains accurate position information of the vehicle through a GPS receiver by a camera, a signal lamp and an RFID sensor of the highway system, 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 ranging technology; the vehicle current position information is provided, the vehicle position is determined, the vehicle identity is conveniently authenticated, the soundness of a trusted authentication system is increased, and the network attack is prevented.
The cloud server wireless communication adopts a GPRS communication module to establish communication connection with the vehicle-mounted terminal, the vehicle-mounted terminal communicates through an RS232 interface, and sends an AT instruction to operate the GPRS communication module to set the data baud rate, activate PDP context and set the GPRS gateway; the wireless communication supports the network transmission form of GPRS, and adopts the fixed IP of public network.
The authentication of the vehicle to the person is completed through a vehicle self-acquisition module, a singlechip and a vehicle-mounted terminal; the vehicle is positioned and authenticated through traffic information acquisition, a cloud server and a vehicle-mounted terminal; the authentication system is based on an identity authentication mode of the digital certificate.
The vehicle self-acquisition module adopts a multichannel parallel AD conversion module, specifically, an AD7779 is adopted as an AD acquisition chip, an AD7770 chip is an 8-channel 24-bit synchronous sampling ADC, and the resolution of the sampling rate is 15.2 multiplied by 10 −6 SPS, sampling accuracy is high, and the sampling is accurate.
Embodiment two:
as shown in fig. 3-5, on the basis of the first embodiment, the vehicle self-collection module collects voiceprint and three-dimensional pronunciation action data information and performs analysis processing, fuses different physiological characteristics, comprehensively performs authentication and authentication on personal identity, and has high safety.
The method for authenticating the vehicle self-acquisition module comprises the following steps: and synchronously cutting the audio and video, removing abnormal values, extracting a lip track, calculating a static lip, calculating relative lip actions, carrying out level normalization processing and component analysis to obtain a static visual characteristic authentication result.
The processing steps of the induction layer, the transmission layer and the application layer comprise: a, a traffic information acquisition module acquires vehicle data through a signal lamp, an RFID sensor, a camera and a GPS receiver anchor node, and positions the vehicle by combining a positioning technology to finish vehicle authentication; b, transmitting the personal sound data and the three-dimensional pronunciation visual data acquired by the sound sensor and the infrared camera to the vehicle-mounted terminal through serial communication; c, the vehicle-mounted terminal sends a voiceprint identity request, the singlechip receives the verification request and then generates an identity verification text, the vehicle-mounted terminal receives the verification text, records a sound through the sound sensor, and the singlechip 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 singlechip receives the verification request and then generates an identity verification text, the vehicle-mounted terminal receives the verification text, the three-dimensional feature of the face is shot through the infrared camera while recording, three-dimensional visual data during pronunciation is obtained, the singlechip identifies and verifies the three-dimensional visual data through the information base, and meanwhile, the three-dimensional pronunciation action identity verification result is obtained by combining voice voiceprint identification and verification results, so that personal authentication is completed.
Embodiment III:
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, are converted into data and information conforming to TCP/IP protocol, are transmitted to a vehicle-mounted terminal through serial port communication, and are analyzed and verified through a built-in information base of the singlechip 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, analysis data is transmitted to the Zigbee gateway through the Zigbee network, the analysis data is converted into data and information which accord with the TCP/IP protocol, the data and the information are transmitted to the vehicle-mounted terminal through GPRS communication, the vehicle is positioned through a positioning method, the identity of the vehicle is conveniently authenticated, and the soundness of a trusted authentication system is improved. When the vehicle is positioned, any anchor node of the intelligent signal lamp, the RFID sensor, the camera and the GPS receiver senses the vehicle, the vehicle and the vehicle relatively displace, 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 frequencies, 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 as S (x n ,y n ,z n ) Where n=1, 2,3, the moving vehicle position is set to Y (x, Y, z), then the angle between the line connecting Y and S and the direction v of vehicle movement is θ t Where t represents the angle of the different positions, t=0, 1,2, the frequency difference f received by the moving vehicle position Y is satisfied, f=v/λ (cos θ 1 - cosθ 0 ) In the above formula, lambda isThe frequency wavelength is measured for a plurality of times to obtain a group of frequency difference values f s =f+m, where m is the noise value, by applying a noise to f s The real-time position of the mobile vehicle Y can be obtained by iterative solution, positioning authentication of the vehicle is completed in the mode, positioning accuracy is high, positioning and sensing accuracy of a vehicle network is improved through mutual cooperation of an intelligent signal lamp, an RFID sensor, a camera, a GPS receiver and the mobile vehicle, positioning errors are reduced, and safety of vehicle authentication is improved.
Example IV
On the basis of the second embodiment, when the vehicle self-acquisition module authenticates the person, the vehicle self-acquisition module synchronously processes the acquired voice and three-dimensional voice action data, and the method for finding out the end position in one section of voice comprises the following steps: a, cutting off a section of prompt tone from recorded audio as a reference; b, carrying out windowing, framing and short-time Fourier transform processing on the reference cue tone and the test audio, extracting the Fourier coefficient of each frame, and setting the length of the reference cue tone as N frames, so that the Fourier coefficient f of the j dimension of the i frame is obtained ij Fourier coefficient e of the j-th dimension of the i-th frame of the test tone ij The method comprises the steps of carrying out a first treatment on the surface of the C, taking a sliding window with the length of N frames, and enabling the sliding window to be positioned at a sliding audio starting position; d, intercepting Fourier coefficients of corresponding frames in the sliding window from the step B; e, calculating a correlation r between the sliding window and the reference prompt tone, and storing the coefficient and the corresponding position, wherein the correlation r satisfies the following formula r= (E) ij -e)( f ij -f1)/（(e ij -e) 2 ( f ij -f1) 2 ） 1/2 Wherein e and f1 are the average values; f, moving the end position of the sliding window downwards by one frame, returning to the step D again if the next frame is not the last frame, otherwise, entering the next step; g, selecting the maximum value from all the correlation relations, and finding out the position corresponding to the maximum value, wherein the position is the starting sound ending time in the test audio; the method has the advantages that the ending prompt tone is obtained at the starting position of the test audio frequency, after the audio frequency is cut off to start the prompt tone and the ending prompt tone, the synchronization of the three-dimensional voice data and the voice data in the recording time is realized, the accuracy of synchronous authentication is improved, and the personal authentication error is 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 restoration is carried out on the condition of discontinuous data caused by equipment burst errors in the acquisition process, and in abnormal value detection based on k nearest neighbor, point c i,t =[x i,t , y i,t , z i,t ]The outlier expression satisfies |c i -c i 1|>φ·δ i The method comprises the steps of carrying out a first treatment on the surface of the In the above, c i 1 is the mean value of the nearest k points, delta i Time variance, phi is a constant, and the value range is (1-10); when repairing k nearest neighbor point values with different constants, selecting proper phi, when an abnormal value appears, using average value c of k nearest neighbor points i 1 replaces the original c i And repairing is carried out, errors are reduced, when the number of continuous abnormal points exceeds 20, the data is seriously damaged, the repairing errors are increased, and the data is selectively discarded.
The method comprises the steps of initializing camera parameters through a guide program carried by an infrared camera, acquiring positions of face mark points according to a standard face model, extracting motion tracks of lip mark points through three-dimensional visual data, and obtaining 24-dimensional lip pronunciation action tracks after intercepting and processing the acquired data. For different people speaking different lips, the pronunciation action variation is caused, in order to reduce the error and increase the accuracy of the lip action, zero mean and variance normalization processing is carried out on the to-lip data l, and l satisfies l= (l-l 1)/(delta 1) 1/2 The method comprises the steps of carrying out a first treatment on the surface of the In the above formula, l1 is the data average value of all sentences of a speaker, delta 1 is the variance of all sentences of the speaker, and the lip data l is normalized by the method, so that errors and abnormal values of different lip movements of a human mouth are reduced, the credible authentication error of a vehicle acquisition module is reduced, and the credible authentication efficiency is improved; the trusted computing is carried out through various physiological characteristics of the person, so that the accuracy of trusted authentication is improved, the personal authentication efficiency is improved, the risks of the system being authenticated by fake evidence and being attacked are reduced, and the security level of the system is further improved.
The device obtained through the technical scheme is an internet of things trusted 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 transportation and the trusted authentication system on the basis of the internet of things; the accuracy of vehicle positioning is improved by combining the set internet of things with the positioning method set by the positioning system, and the vehicle authentication efficiency and the accuracy of vehicle authentication are further improved; the method for authenticating the person credibility is integrated through the internet of things technology, the credibility calculation is carried out through various physiological characteristics of the person, the accuracy of the credibility authentication is improved, the personal authentication efficiency is improved, the risks of the system being authenticated by fake evidence and being attacked are reduced, and the security level of the system is higher; by combining the vehicle authentication and the personal identification authentication, the robustness of the trusted authentication system is ensured, the safety and the user experience are improved, the counterfeit intruder is effectively prevented from entering the vehicle system, the vehicle data resources are stolen, and the vehicle authentication system is safer and more stable; the vehicle positioning authentication is completed in a mode of frequency difference of the moving vehicle, the positioning accuracy is high, the accuracy of positioning and sensing of the vehicle network is improved through mutual cooperation of the intelligent signal lamp, the RFID sensor, the camera, the GPS receiver and the moving vehicle, the positioning error is reduced, and the safety of vehicle authentication is improved; when the vehicle self-acquisition module authenticates the human body, synchronous processing is carried out on acquired human voice and three-dimensional voice action data, so that the synchronization of the three-dimensional voice data and the voice data in recording time is realized, the accuracy of synchronous authentication is improved, and the human body authentication error is reduced; the three-dimensional voice action data is subjected to average value and variance normalization processing, so that errors and abnormal values of actions of different lips of a human mouth are reduced, the credible authentication error of a vehicle acquisition module is reduced, and the credible authentication efficiency is improved; the credible calculation is carried out through various physiological characteristics of the person, so that the accuracy of credible authentication is improved, and the security level of the system is further improved.
Other technical solutions not described in detail in the present invention are all prior art in the field, and are not described in detail herein.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, and various modifications and variations of the present invention will be apparent to those skilled in the art; any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. The internet of things trusted authentication system for the vehicle comprises a vehicle-mounted terminal and a server; 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 wireless communication mode, the single chip microcomputer is connected with a vehicle-mounted terminal in a wired mode, and wireless communication is carried out between the vehicle-mounted terminal and 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 singlechip through the set 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 driving 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 sensing layer to the vehicle-mounted terminal after being analyzed and processed by the singlechip and the cloud server; the vehicle-mounted terminal corresponds to an application layer of the Internet of things, receives data information analyzed by the transmission layer, stores the data information into an information base through a singlechip, confirms correct authentication information through authentication information comparison, and improves the use safety of a vehicle network system;
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, transmitted to a vehicle-mounted terminal through serial port communication, and analyzed and verified through a built-in information base of the singlechip to obtain a verification result; real-time information of the vehicle position acquired by the signal lamp, the RFID sensor, the camera and the GPS receiver anchor node is analyzed and processed through the cloud server, and analysis data are analyzedThe data and the information which are converted into data which accords with the TCP/IP protocol are transmitted to the vehicle-mounted terminal through GPRS communication and are transmitted to the Zigbee gateway through the Zigbee network, the vehicle is positioned through a positioning method, the identity of the vehicle is conveniently authenticated, and the soundness of a trusted authentication system is improved; when the vehicle is positioned, any anchor node of the intelligent signal lamp, the RFID sensor, the camera and the GPS receiver senses the vehicle, the vehicle and the vehicle relatively displace, 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 frequencies, 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 as S (x n ,y n ,z n ) Where n=1, 2,3, the moving vehicle position is set to Y (x, Y, z), then the angle between the line connecting Y and S and the direction v of vehicle movement is θ t Where t represents the angle of the different positions, t=0, 1,2, the frequency difference f received by the moving vehicle position Y is satisfied, f=v/λ (cos θ 1 -cosθ 0 ) Lambda is the frequency wavelength, and a group of frequency difference values f are obtained by measuring the frequency difference values for a plurality of times s =f+m, where m is the noise value, by applying a noise to f s Performing iterative solution to obtain the real-time position of the moving vehicle Y;
the processing steps of the induction layer, the transmission layer and the application layer comprise: a, a traffic information acquisition module acquires vehicle data through a signal lamp, an RFID sensor, a camera and a GPS receiver anchor node, and positions the vehicle by combining a positioning technology to finish vehicle authentication; b, transmitting the personal sound data and the three-dimensional pronunciation visual data acquired by the sound sensor and the infrared camera to the vehicle-mounted terminal through serial communication; c, the vehicle-mounted terminal sends a voiceprint identity request, the singlechip receives the verification request and then generates an identity verification text, the vehicle-mounted terminal receives the verification text, records a sound through the sound sensor, and the singlechip 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 singlechip receives the verification request and then generates an identity verification text, the vehicle-mounted terminal receives the verification text, the three-dimensional facial features are shot through the infrared camera while recording, three-dimensional visual data during pronunciation are obtained, the singlechip identifies and verifies the three-dimensional visual data through the information base, and meanwhile, the three-dimensional pronunciation action identity verification result is obtained by combining voice voiceprint identification and verification results, so that personal authentication is completed;
initializing camera parameters through a guide program carried by an infrared camera, acquiring the positions of face mark points according to a standard face model, extracting the motion trail of lip mark points through three-dimensional visual data, and obtaining a 24-dimensional lip pronunciation action trail after intercepting and processing the acquired data;
for different people speaking lips, the voice action variation is caused, in order to reduce the error and increase the accuracy of the lip action, zero mean and variance normalization processing is carried out on the obtained lip data l, and l satisfies l= (l-l 1)/(delta 1) 1/2 The method comprises the steps of carrying out a first treatment on the surface of the In the above formula, l1 is the data average value of all sentences of a speaker, delta 1 is the variance of all sentences of the speaker, and the lip data l is normalized by the method, so that errors and abnormal values of different lip movements of a human mouth are reduced, the credible authentication error of a vehicle acquisition module is reduced, and the credible authentication efficiency is improved; the credibility calculation is carried out through various physiological characteristics of the person, so that the credibility authentication accuracy is improved, and the personal authentication efficiency is improved;
when three-dimensional voice action data and voice data are synchronously acquired, in order to further increase the accuracy of acquired information, abnormal value restoration is carried out on the condition of discontinuous data caused by equipment burst errors in the acquisition process, and in abnormal value detection based on k nearest neighbor, point c i,t ＝[x i,t ,y i,t ,z i,t ]The outlier expression satisfies |c i -c i 1|>φ·δ i The method comprises the steps of carrying out a first treatment on the surface of the In the above, c i 1 is the mean value of the nearest k points, delta i Time variance, phi is a constant, and the value range is (1-10); when repairing k nearest neighbor point values with different constants, selecting proper phi, when an abnormal value appears, using average value c of k nearest neighbor points i 1 replaces the original c i Repairing, reducing error when the number of continuous abnormal points exceeds 20When the data is damaged seriously, the repair error is increased, and the data is discarded selectively.
2. The internet of things trusted authentication system for vehicles of claim 1, wherein said traffic information acquisition module comprises a signal light, an RFID sensor, a camera, a GPS receiver; the signal lamp is a signal lamp integrating GPRS communication and calculation modules, and digital signal information, road traffic guiding information and road condition information are sent to the vehicle-mounted terminal; the vehicle is provided with a unique identification tag, and the identification tag carries out signal transmission with RFID sensors arranged at two sides of the road to identify the vehicle.
3. The internet of things trusted authentication system for vehicles according to claim 2, wherein the vehicle-mounted terminal obtains accurate position information of the vehicle through a GPS receiver through a camera, a signal lamp and an RFID sensor of a highway system, serves as an anchor node in a network, and accurately positions the vehicle in the running process based on a ranging technology; the vehicle current position information is provided, the vehicle position is determined, the vehicle identity is conveniently authenticated, the soundness of a trusted authentication system is increased, and the network attack is prevented.
4. The internet of things trusted authentication system for vehicles according to claim 1, wherein the vehicle self-acquisition module is high in safety by acquiring voiceprint and three-dimensional pronunciation action data information and analyzing and processing, integrating different physiological characteristics and comprehensively authenticating and authenticating the personal identity when acquiring authentication data.
5. The internet of things trusted authentication system for a vehicle of claim 1, wherein the method steps of the vehicle self-collection module for authentication include: and synchronously cutting the audio and video, removing abnormal values, extracting a lip track, calculating a static lip, calculating relative lip actions, carrying out level normalization processing and component analysis to obtain a static visual characteristic authentication result.
6. The internet of things trusted authentication system for vehicles according to claim 1, wherein the cloud server establishes communication connection between a GPRS communication module and a vehicle-mounted terminal in wireless communication, the vehicle-mounted terminal communicates through an RS232 interface, and 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 public network.
7. The internet of things trusted authentication system for vehicles according to claim 1, wherein the authentication of the vehicle to the person is completed through a vehicle self-acquisition module, a singlechip and a vehicle-mounted terminal; and positioning and authentication of the vehicle are completed through traffic information acquisition, a cloud server and a vehicle-mounted terminal.
8. The internet of things trusted authentication system for a vehicle of claim 1, wherein the authentication system is based on an identity authentication scheme of a digital certificate.
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