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A robust biometrics based three-factor authentication scheme for Global Mobility Networks in smart city

机译:基于健壮生物特征的三要素认证方案,适用于智慧城市中的全球移动网络

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摘要

Smart city is a development tendency of future city, which improves almost all aspects of quality of urban residents’ life by adopting Information and Communication Technology. In smart city, people can interact directly with the community and the infrastructure at anytime and anywhere, where GLObal MObility NETwork (GLOMONET) is an important network infrastructure for smart city. Recently, Gope and Hwang proposed an efficient authentication scheme for GLOMONET. However, we find their scheme lacks session key update and wrong password detection mechanisms, and vulnerable to denial-of-service attack. Besides, the session key can be known byHA(home agent), and perfect forward secrecy cannot be ensured. Furthermore, in their scheme,HAhas to take heavy secret key management work. Based on previous work, this paper first summarizes the security and function requirements of authentication for GLOMONET in smart city environment. Later, this paper proposed a robust biometrics based three-factor authentication scheme for GLOMONET in smart city. Security features of the proposed scheme are analyzed in detail, and comparisons of our scheme with other related schemes are illustrated. Analysis and comparison results show that our scheme meets the preconcerted security requirements of authentication for GLOMONET in smart city environment, and it is robust for GLOMONET in smart city environments with higher security requirements.
机译:智慧城市是未来城市的发展趋势,它通过采用信息和通信技术,几乎可以改善城市居民生活的所有方面。在智慧城市中,人们可以随时随地直接与社区和基础架构进行交互,而全球移动网络(GLOMONET)是智慧城市的重要网络基础架构。最近,Gope和Hwang提出了一种针对GLOMONET的有效身份验证方案。但是,我们发现他们的方案缺少会话密钥更新和错误的密码检测机制,并且容易受到拒绝服务攻击。此外,会话密钥可以由HA(归属代理)知道,并且不能确保完美的前向保密性。此外,在其计划中,HA必须承担繁重的秘密密钥管理工作。在先前工作的基础上,本文首先总结了智能城市环境中GLOMONET身份验证的安全性和功能要求。后来,本文为智能城市中的GLOMONET提出了一种基于鲁棒生物特征的三要素认证方案。详细分析了该方案的安全特性,并说明了该方案与其他相关方案的比较。分析和比较结果表明,该方案满足智能城市环境中对GLOMONET身份验证的预先认证的安全性要求,对于安全性要求较高的智能城市环境中的GLOMONET具有鲁棒性。

著录项

  • 来源
    《Future generation computer systems》 |2018年第6期|607-618|共12页
  • 作者单位

    School of Computer Science and Engineering, Hunan University of Science and Technology;

    State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University;

    Department of Mathematics, Ch. Charan Singh University;

    Department of Computer Science and Engineering, Xiamen Institute of Technology;

    Department of Information Systems and Cyber Security, University of Texas at San Antonio;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    GLObal MObile NETwork (GLOMONET); Smart city; Authentication; User anonymous; Biometrics;

    机译:全球移动网络(GLOMONET);智能城市;身份验证;用户匿名;生物识别;

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