Computer Science

Computer Science ›› 2023, Vol. 50 ›› Issue (4): 308-316.doi: 10.11896/jsjkx.220300082

• Information Security • Previous Articles     Next Articles

Anonymous Batch Authentication Scheme in Internet of Vehicles for WAVE Security Services

GUO Nan1, SONG Xiaobo1, ZHUANG Luyuan1, ZHAO Cong2   

  1. 1 School of Computer Science and Engineering,Northeastern University,Shenyang 110167,China
    2 School of Software,Northeastern University,Shenyang 110167,China
  • Received:2022-03-08 Revised:2022-07-07 Online:2023-04-15 Published:2023-04-06
  • About author:GUO Nan,born in 1977,Ph.D,associate professor.Her main research interests include security and privacy,computer vision and virtual reality.
    ZHUANG Luyuan,born in 1998,postgraduate.Her main research interests include Internet of Vehicles security and so on.
  • Supported by:
    National Natural Science Foundation of China(52130403) and Fundamental Research Funds for the Central Universities of Ministry of Education of China(N2017003).

PDF (PC)

324

Abstract: As a typical representative of the Internet of Things,the Internet of Vehicles plays an important role in intelligent transportation,not only providing vehicles with a variety of online services,but also reducing the risk of accidents for drivers.However,a large number of sensitive information such as vehicle location and route are generated in the communication process of Internet of Vehicle networks.How to improve the anonymity of vehicle identity in the authentication service is a research hotspot in the field of Internet of Vehicles security.In this paper,an anonymous authentication scheme based on a batch authentication algorithm is proposed,which extends the anonymous authentication methods for IEEE WAVE security services through anonymous credentials,zero-knowledge proof and other technologies,and provides a method to recover identity through a trusted third party.Experimental results show that the computational cost of the scheme is better than that of the partial comparison scheme when the number of batch validated signatures exceeds 11.Besides,the optimal cycle of batch verification in BSM application of DSRC and vehicle near field payment application is also analyzed.

Key words: WAVE, Internet of Vehicles security, Anonymous authentication, Batch verification

CLC Number: 

  • U495
[1]IEEE.IEEE Standard for Wireless Access in Vehicular Environ-ments-Security Services for Applications and Management Messages[C]//IEEE Std.IEEE,2013.
[2]KANG J,YU R,HUANG X,et al.Privacy-preserved pseu-donym scheme for fog computing supported Internet of vehicles[J].IEEE Transactions on Intelligent Transportation Systems,2017,19(8):2627-2637.
[3]CORSER G P,FU H,BANIHANI A.Evaluating location priva-cy in vehicular communications and applications[J].IEEE Transactions on Intelligent Transportation Systems,2016,17(9):2658-2667.
[4]CUI J,XU W,ZHONG H,et al.Privacy-preserving authentication using a double pseudonym for Internet of vehicles[J].Sensors,2018,18(5):1453.
[5]KALNIS P,GHINITA G,MOURATIDIS K,et al.Preventinglocation-based identity inference in anonymous spatial queries[J].IEEE Transactions on Knowledge and Data Engineering,2007,19(12):1719-1733.
[6]GUO N,ZHAO C,GAO T.An anonymous authentication sche-me for edge computing-based car-home connectivity services in vehicular networks[J].Future Generation Computer Systems,2020,106:659-671.
[7]BONEH D,FRANKLIN M.Identity based encryption from the weil pairing[C]//Annual International Cryptology Conference.2001:213-229.
[8]LU Z,QU G,LIU Z.A survey on recent advances in vehicular network security,trust,and privacy[J].IEEE Transactions on Intelligent Transportation Systems,2018,20(2):760-776.
[9]AL-SHAREEDA M A,ANBAR M,HASBULLAH I H,et al.Survey of authentication and privacy schemes in vehicular ad hoc networks[J].IEEE Sensors Journal,2020,21(2):2422-2433.
[10]AZEES M,VIJAYAKUMAR P,DEBOARH L J.EAAP:Efficient anonymous authentication with conditional privacy-preserving scheme for vehicular ad hoc networks[J].IEEE Transactions on Intelligent Transportation Systems,2017,18(9):2467-2476.
[11]VIJAYAKUMAR P,CHANG V,DEBORAH L J,et al.Computationally efficient privacy preserving anonymous mutual and batch authentication schemes for vehicular ad hoc networks[J].Future Generation Computer Systems,2018,78:943-955.
[12]ZHANG L,WU Q,DOMINGO-FERRER J,et al.Distributed aggregate privacy-preserving authentication in VANETs[J].IEEE Transactions on Intelligent Transportation Systems,2016,18(3):516-526.
[13]VIJAYAKUMAR P,AZEES M,KOZLOV S A,et al.An Anony-mous Batch Authentication and Key Exchange Protocols for 6G Enabled VANETs[J].IEEE Transactions on Intelligent Transportation Systems,2021,23(2):1630-1638.
[14]JIANG S,ZHU X,WANG L.An efficient anonymous batch authentication scheme based on HMAC for VANETs[J].IEEE Transactions on Intelligent Transportation Systems,2016,17(8):2193-2204.
[15]XU G,LI X,JIAO L,et al.Bagkd:A batch authentication and group key distribution protocol for vanets[J].IEEE Communications Magazine,2020,58(7):35-41.
[16]HORNG S J,TZENG S F,HUANG P H,et al.An efficient certificateless aggregate signature with conditional privacy-preserving for vehicular sensor networks[J].Information Sciences,2015,317:48-66.
[17]KUMAR P,KUMARI S,SHARMA V,et al.Secure CLS andCL-AS schemes designed for VANETs[J].The Journal of Supercomputing,2019,75(6):3076-3098.
[18]ZHONG H,HAN S,CUI J,et al.Privacy-preserving authentication scheme with full aggregation in VANET[J].Information Sciences,2019,476:211-221.
[19]ASAAR M R,SALMASIZADEH M,SUSILO W,et al.A secure and efficient authentication technique for vehicular ad-hoc networks[J].IEEE Transactions on Vehicular Technology,2018,67(6):5409-5423.
[20]LI J,CHOO K K R,ZHANG W,et al.EPA-CPPA:An effi-cient,provably-secure and anonymous conditional privacy-preserving authentication scheme for vehicular ad hoc networks[J].Vehicular Communications,2018,13:104-113.
[21]CUI J,XU W,HAN Y,et al.Secure mutual authentication with privacy preservation in vehicular ad hoc networks[J].Vehicular Communications,2020,21:100200.
[22]WANG Y,ZHONG H,XU Y,et al.Enhanced security identity-based privacy-preserving authentication scheme supporting revocation for VANETs[J].IEEE Systems Journal,2020,14(4):5373-5383.
[23]ZHANG J,ZHONG H,CUI J,et al.An extensible and effective anonymous batch authentication scheme for smart vehicular networks[J].IEEE Internet of Things Journal,2020,7(4):3462-3473.
[24]ISLAM S H,OBAIDAT M S,VIJAYAKUMAR P,et al.A robust and efficient password-based conditional privacy preserving authentication and group-key agreement protocol for VANETs[J].Future Generation Computer Systems,2018,84:216-227.
[25]CUI J,TAO X,ZHANG J,et al.HCPA-GKA:A hash function-based conditional privacy-preserving authentication and group-key agreement scheme for VANETs[J].Vehicular Communications,2018,14:15-25.
[26]SUN M,GUO Y,ZHANG D,et al.Anonymous Authentication and Key Agreement Scheme Combining the Group Key for Vehicular Ad Hoc Networks[J].Complexity,2021,2021:1-13.
[27]CUI J,ZHANG J,ZHONG H,et al.An efficient certificateless aggregate signature without pairings for vehicular ad hoc networks[J].Information Sciences,2018,451:1-15.
[28]WANG X,JIA W,QIN H.An improved secure and efficient certificateless conditional privacy-preserving authentication scheme in VANETs[C]//Proceedings of the 2020 International Confe-rence on Cyberspace Innovation of Advanced Technologies.2020:496-503.
[29]THUMBUR G,RAO G S,REDDY P V,et al.Efficient and Secure Certificateless Aggregate Signature-Based Authentication Scheme for Vehicular Ad Hoc Networks[J].IEEE Internet of Things Journal,2020,8(3):1908-1920.
[30]LIU Y,WANG L,CHEN H H.Message authentication using proxy vehicles in vehicular ad hoc networks[J].IEEE Transactions on Vehicular Technology,2014,64(8):3697-3710.
[31]HE D,ZEADALLY S,XU B,et al.An efficient identity-basedconditional privacy-preserving authentication scheme for vehicular ad hoc networks[J].IEEE Transactions on Information Forensics and Security,2015,10(12):2681-2691.
[32]SHAO J,LIN X,LU R,et al.A threshold anonymous authentication protocol for VANETs[J].IEEE Transactions on Vehicular Technology,2015,65(3):1711-1720.
[33]SARAKIS L,ORPHANOUDAKIS T,LELIGOU H C,et al.Providing entertainment app locations in VANET environments[J].IEEE Wireless Communications,2016,23(1):30-37.
[34]ABBOUD K,OMAR H A,ZHUANG W.Interworking of DSRC and cellular network technologies for V2X communications:A survey[J].IEEE Transactions on Vehicular Technology,2016,65(12):9457-9470.
[35]WU Q,DOMINGO-FERRER J,GONZALEZ-NICOLAS U.Ba-lanced trustworthiness,safety,and privacy in vehicle-to-vehicle communications[J].IEEE Transactions on Vehicular Technology,2009,59(2):559-573.
[36]YAO L,WANG J,WANG X,et al.V2X routing in a VANET based on the hidden Markov model[J].IEEE Transactions on Intelligent Transportation Systems,2017,19(3):889-899.
[37]KENNEY J B.Dedicated short-range communications(DSRC)standards in the United States[J].Proceedings of the IEEE,2011,99(7):1162-1182.
[38]WANG Q,GAO D,FOH C,et al.Protocols Design and Area Division for Privacy-Preserving Delay-Aware Authentication in Vehicular Networks[J].IEEE Transactions on Vehicular Technology,2021,70(11):11129-11144.
[39]WANG P,CHEN C M,KUMARI S,et al.HDMA:hybrid D2D message authentication scheme for 5G-enabled VANETs[J].IEEE Transactions on Intelligent Transportation Systems,2020,22(8):5071-5080.
[40]YANG Y,ZHANG L,ZHAO Y,et al.Privacy-Preserving Aggregation-Authentication Scheme for Safety Warning System in Fog-Cloud Based VANET[J].IEEE Transactions on Information Forensics and Security,2022,17:317-331.
[41]RABIEH K,PAN M,HAN Z,et al.SRPV:A scalable revocation scheme for pseudonyms-based vehicular ad hoc networks[C]//2018 IEEE International Conference on Communications.ICC,2018:1-6.
[42]WEI L,CUI J,XU Y,et al.Secure and Lightweight Conditional Privacy-Preserving Authentication for Securing Traffic Emergency Messages in VANETs[J].IEEE Transactions on Information Forensics and Security,2021,16:1681-1695.
[43]ALTAF F,MAITY S.PLHAS:Privacy-preserving localized hybrid authentication scheme for large scale vehicular ad hoc networks[J].Vehicular Communications,2021,30:100347.
[44]GB/T 1.1－2009,Cooperative intelligent transportation system vehicle communication system application layer and application data exchange standard[S].Beijing:Chinese Society of Automotive Engineering Standard,2017.
[45]WU Y L,ZHU Z Q,HUANG M B,et al.Group signaturescheme for vehicular Ad Hoc networks based on blockchain[J].Journal of Jilin University(Engineering and Technology Edition),2022,52(5):1161-1167.
[46]WU T T,YANG Y F,ZHAO Y L.An Authentication Protocol with Conditional Privacy Protection for IoV Communication[J].Computer Engineering,2021,47(6):14-22.
[1] WU Su-jie, ZHOU Jie, WANG Xue-ying, LYU Zhi-kang, SHAO Gen-fu. Study on Characteristics of Millimeter-wave MIMO Channel in Rainfall Environment [J]. Computer Science, 2022, 49(7): 297-303.
[2] LAI Teng-fei, ZHOU Hai-yang, YU Fei-hong. Real-time Extend Depth of Field Algorithm for Video Processing [J]. Computer Science, 2022, 49(6A): 314-318.
[3] SUN Jie-qi, LI Ya-feng, ZHANG Wen-bo, LIU Peng-hui. Dual-field Feature Fusion Deep Convolutional Neural Network Based on Discrete Wavelet Transformation [J]. Computer Science, 2022, 49(6A): 434-440.
[4] XU Jia-nan, ZHANG Tian-rui, ZHAO Wei-bo, JIA Ze-xuan. Study on Improved BP Wavelet Neural Network for Supply Chain Risk Assessment [J]. Computer Science, 2022, 49(6A): 654-660.
[5] AN Xin, DAI Zi-biao, LI Yang, SUN Xiao, REN Fu-ji. End-to-End Speech Synthesis Based on BERT [J]. Computer Science, 2022, 49(4): 221-226.
[6] SONG Tao, LI Xiu-hua, LI Hui, WEN Jun-hao, XIONG Qing-yu, CHEN Jie. Overview of Research on Security Encryption Authentication Technology of IoV in Big Data Era [J]. Computer Science, 2022, 49(4): 340-353.
[7] XU Kun-cai, FENG Bao, CHEN Ye-hang, LIU Yu, ZHOU Hao-yang, CHEN Xiang-meng. Thymoma CT Image Prediction Method Based on Deep Learning and Improved Extreme Learning Machine Ensemble Learning [J]. Computer Science, 2022, 49(11A): 211200097-6.
[8] ZHANG Xin, SUN Jing, YANG Hong-bo, PAN Jia-hua, GUO Tao, WANG Wei-lian. Heart Sound Segmentation Algorithm Based on TK Energy Operator and Envelope Fusion [J]. Computer Science, 2022, 49(11A): 210900135-6.
[9] HUANG Xiao-ling, ZHANG De-ping. Fault Diagnosis Based on Channel Splitting CLAHE and Adaptive Threshold Residual NetworkUnder Variable Operating Conditions [J]. Computer Science, 2022, 49(11A): 211100122-7.
[10] ZHOU Jun, WANG Shuai, LIU Fan-yi. Research on Iris Recognition Algorithm Based on Wavelet Packet Decomposition [J]. Computer Science, 2021, 48(6A): 57-62.
[11] ZHANG Xue, LUO Zhi-hong, JIANG Jing. Comparison of Temperature Forecasting Model Using in Weather Derivatives Designing [J]. Computer Science, 2021, 48(6A): 169-177.
[12] LUO Jing-jie, WANG Yong-li. ADCSM:A Fine-grained Driving Cycle Model Construction Method [J]. Computer Science, 2021, 48(6A): 289-294.
[13] TANG Liang, LI Fei. Research on Forecasting Model of Internet of Vehicles Security Situation Based on Decision Tree [J]. Computer Science, 2021, 48(6A): 514-517.
[14] ZHONG Yue, FANG Hu-sheng, ZHANG Guo-yu, WANG Zhao, ZHU Jing-wei. Method of CNN Flag Movement Recognition Based on 9-axis Attitude Sensor [J]. Computer Science, 2021, 48(6): 153-158.
[15] XIANG Chang-sheng, CHEN Zhi-gang. Chaotic Prediction Model of Network Traffic for Massive Data [J]. Computer Science, 2021, 48(5): 289-293.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
渝ICP备16013121号-4
Add:18# Honghu West Rd., Yubei ,Chongqing,China    Post Code: 401121
Tel: 023-63500828/023-67039612/023-67039623
E-mail: jsjkx12@163.com
Powered by Beijing Magtech Co., Ltd.