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河南理工大学计算机科学与技术学院,河南 焦作 454003
[ "宋成(1980),男,河南信阳人,博士,河南理工大学讲师,主要研究方向为信息安全、密码学、可信计算等。" ]
[ "张明月(1992-),女,河北沧州人,河南理工大学硕士生,主要研究方向为信息安全、物联网安全等。" ]
[ "彭维平(1979-),男,湖北天门人,博士,河南理工大学副教授,主要研究方向为物联网安全及应用、数据防泄露等。" ]
[ "贾宗璞(1963-),男,河南邓州人,博士,河南理工大学教授,主要研究方向为物联网技术与应用、计算机网络技术、计算机测控技术、信息系统等。" ]
[ "刘志中(1981-),男,河南周口人,博士,河南理工大学讲师,主要研究方向为服务计算、物联网、群体智能算法。" ]
[ "闫玺玺(1985-),女,河南灵宝人,博士,河南理工大学讲师,主要研究方向为数字版权管理、数字内容安全、计算机网络安全。" ]
网络出版日期:2017-06,
纸质出版日期:2017-06-25
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宋成, 张明月, 彭维平, 等. 基于双线性对的车联网批量匿名认证方案研究[J]. 通信学报, 2017,38(6):49-57.
Cheng SONG, Ming-yue ZHANG, Wei-ping PENG, et al. Research on batch anonymous authentication scheme for VANET based on bilinear pairing[J]. Journal on communications, 2017, 38(6): 49-57.
宋成, 张明月, 彭维平, 等. 基于双线性对的车联网批量匿名认证方案研究[J]. 通信学报, 2017,38(6):49-57. DOI: 10.11959/j.issn.1000-436x.2017112.
Cheng SONG, Ming-yue ZHANG, Wei-ping PENG, et al. Research on batch anonymous authentication scheme for VANET based on bilinear pairing[J]. Journal on communications, 2017, 38(6): 49-57. DOI: 10.11959/j.issn.1000-436x.2017112.
为解决当前车联网中匿名认证的效率问题,利用椭圆曲线上的双线性对的性质,提出一种批量匿名认证方案。通过路侧单元节点(RSU)与车辆共同生成签名,有效减轻了VANET认证中心的负担进而提高认证效率,并且增加了攻击者提取密钥的难度,并在随机预言模型中给出其安全性证明。分析表明,该方案能够满足多种安全需求,计算开销明显降低,认证效率得到有效提高。因此,该方案在计算性能受限的物联网(IoT
Internet of things)环境中,有着重要的理论意义与应用价值。
To solve the problem of efficiency of anonymous authentication in vehicular ad hoc network
a batch anonymous authentication scheme was proposed by using bilinear pairing on elliptic curves .The signature was generated by the roadside unit node (RSU) and the vehicle together.Thus
the burden of VANET certification center was reduced and the authentication efficiency was proved.Meanwhile
the difficulty of the attacker to extract the key was increased.Furthermore
security proofs were given to the scheme in the random oracle model.Analysis shows that the proposed scheme can meet the needs of many kinds of security requirements
the computational overhead is significantly reduced
and the authentication efficiency is improved effectively too.Therefore
the scheme has important theoretical significance and application value under computational capability constrained Internet of things (IoT) environment.
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