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基于ISO/IEC18000-6B标准的RFID车卡防伪问题研究 被引量:3

Research on Anti-counterfeiting Problem of RFID Vehicle Tags Based on the Standard of ISO/IEC18000-6B
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摘要 为了深入探讨基于ISO/IEC18000-6B标准的车卡防伪问题,本文全面研究了现有与车卡防伪有关的两类主动攻击技术,即电子"克隆"技术和无线"侦测"与"重播"技术。同时根据反射调制式RFID技术、ISO/IEC18000-6B标准以及车卡在车辆管理系统中的运行方式,可以得到结论:"克隆"车卡或采用"侦测"与"重播"技术仿真车卡都存在很大的技术难度、法律风险,并且车辆管理系统能够很快侦测出来并对其进行追踪,同时使其失效。采用本文提出的三条防伪建议,能很好地保护合法车主的利益,并快速追查到使用非法车卡的车辆,从而大大提高车卡的防伪性能。 In order to study on anti-counterfeiting problem of vehicle tags based on ISO/IEC18000-6B deeply, the two correlated active attack technology were researched comprehensively, which included electronic clone technology and radio interception & replay technology. At the same time, according to the backscatter modulation RFID technology, the ISO standard of 18000-6B and the running mode of vehicle tags in the vehicle management system, the conclusions could be gotten that there were many technology difficulties on cloning or simulating the vehicle tags, and had great legal risks. On the other hand, the vehicle management system could detect & trace the vehicle using the illegal tags, and invalidated it easily. If the three proposed advices were adopted, the advantage of legal auto owner would be protected, the vehicle using the illegal tags would be found out, and the anti-counterfeiting ability of vehicle tags would be improved greatly.
出处 《射频世界》 2008年第5期39-42,共4页
关键词 车卡 ISO/IEC18000-6B标准 智能交通 防伪技术 Vehicle tags,Standard of ISO/IEC18000-6,Intelligent traffic system,Anti-counterfeiting technology
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  • 1李毅,李红波.基于RFID技术的车辆综合自动管理系统的设计研究[J].微计算机信息,2005,21(10Z):153-154. 被引量:20
  • 2吴永祥.射频识别(RFID)技术研究现状及发展展望[J].微计算机信息,2006(11Z):234-236. 被引量:119
  • 3[1]A.Juels,RFID Security and Privacy:A Research Survey,IEEE Journal on Selected Areas in Communications,Vol.24,No.2,February 2006,381-391
  • 4[2]http://www.ccw.com.cn/news2/securo/htm2003/20030828-13T9U.htm
  • 5[3]A.Juels:Yoking-Proofs for RFID Tags,Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops 2004
  • 6[4]S.E.Sarma,S.A.Weis,D.W.Engels:Radio-frequency identification:Secure risks and challenges.RSA Laboratories Cryptobytes,2003,6(1):2-9
  • 7[5]S.A.Weis,S.E.Sarma,R.L.Rivest,D.W.Engels:Security and privacy aspects of low-cost radio frequency identification systems.In:Hutter D.,Miler G.,Stephan W.,Ullmann M.eds..Proceedings of the 1st International Conference on Security in Pervasive Computing.Lectures Notes in Computer Science 2802.Berlin:Springer-Verlag,2004,201-212
  • 8[6]A Juels.,R.L.Rivest,M.Szydlo:The blocker tag:Selective blocking of RFID tags for consumer Privacy.In:Proceeding of the 10th ACM Conference on Computer and Communication Security (CCS2003),Washington,DC,USA,2003,103-111
  • 9[8]A Juels,R Pappu,S.Euros:Privacy Protection in RFID-enabled Banknotes,Financial Cryptography' 03,2003.134-145
  • 10[9]J.Zhai,C.M.Park,and G.N.Wang:Hash-Based RFID Security Protocol Using Randomly Key-Changed Identification.In:M.Gavrilova et al.Ed.Procedure ICCSA 2006,LNCS 3983,2006,296-305

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  • 1刘学静,李崇,郝飞,赵谦益.含光学隐码的汽车牌照防套牌技术研究[J].大连理工大学学报,2011,51(S1):77-80. 被引量:1
  • 2戴树贵,陈文兰.一个求解k短路径实用算法[J].计算机工程与应用,2005,41(36):63-65. 被引量:20
  • 3徐鑫华.浅谈“套牌车”产生的原因、危害及对策[J].安全与健康(下半月),2007(5):22-23. 被引量:5
  • 4Zheng L H,He X J,Samali B,et al. An algorithm for accu- racy enhancement of license plate recognition[J]. Journal of Computer and System Sciences, 2013, 79 (2): 245- 255.
  • 5Yu S Y,Li B P,Zhang Q,et al.A novel license plate loca- tion method based on wavelet transform and EMD analy- sis[J]. Pattern Recognition, 2015,48 ( 1 ) : 114-125.
  • 6Kim D,Zheng L. Vehicle license plate recognition based on hierarchical approach[J]. International Journal of Se- curity and Its Applications,2013,7(5) :175-182.
  • 7Park S, Lee H. Self-recognition of vehicle position using UHF passive RFID tags[J]. IEEE Transactions on Indus- trial Electronics,2013,60(1) :226-234.
  • 8Wang Y R,Lin W H,Horng S J. A sliding window tech- nique for efficient license plate localization based on dis- crete wavelet transform[J]. Expert Systems with Appli- cations, 2011,38(4) :3142-3146.
  • 9Wang F,Man L C,Wang B P,et al. Fuzzy-based algorithm for color recognition of license plates[J]. Pattern Recog- nition Letters,2008,29(7) : 1007-1020.
  • 10Xia H,Liao D. The study of license plate character seg- mentation algorithm based on vertical projection [A]. Prec. of International Conference on Consumer Electron- ics, Communications and Networks[C]. 2011,4583-4586.

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