首页> 中文期刊>中国通信 >An Enhanced Direct Anonymous Attestation Scheme with Mutual Authentication for Network-Connected UAV Communication Systems

An Enhanced Direct Anonymous Attestation Scheme with Mutual Authentication for Network-Connected UAV Communication Systems

     

摘要

In network-connected UAV (NCUAV) communication systems,user authentication is replaced by platform identity authentication and integrity check because many NC-UAVs are operated without human intervention.Direct anonymous attestation (DAA) is an attractive cryptographic scheme that provides an elegant balance between platform authentication and anonymity.However,because of the low-level computing capability and limited transmission bandwidth in UAV,the existing DAA schemes are not suitable for NC-UAV communication systems.In this paper,we propose an enhanced DAA scheme with mutual authentication (MA-DAA scheme),which meets the security requirements of NC-UAV communication systems.The proposed MA-DAA scheme,which is based on asymmetric pairings,bundles the identities of trusted platform module (TPM) and Host to solve the malicious module changing attacks.Credential randomization,batch proof and verification,and mutual authentication are realized in the MA-DAA scheme.The computational workload in TPM and Host is reduced in order to meet the low computation and resource requirements in TPM and Host.The entire scheme and protocols are presented,and the security and efficiency of the proposed MA-DAA scheme are proved and analyzed.Our experiment results also confirm the high efficiency of the proposed scheme.

著录项

  • 来源
    《中国通信》|2018年第5期|61-76|共16页
  • 作者单位

    School of Information Science and Engineering, Southeast University, Nanjing 210096, China;

    School of Information Science and Engineering, Southeast University, Nanjing 210096, China;

    Research Center of Supply Chain and Operations Management, Coventry University, Coventry, CV1 5FB, UK;

    School of Information Science and Engineering, Southeast University, Nanjing 210096, China;

  • 原文格式 PDF
  • 正文语种 eng
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  • 入库时间 2023-07-25 20:36:41
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