针对卫星集成智能电网中量子攻击的连续身份验证协议

IF 1.8 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Computational Intelligence Pub Date : 2024-06-17 DOI:10.1111/coin.12647
Chao Huang, Min Yang, Bo Li, Lin Yu
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引用次数: 0

摘要

针对卫星集成智能电网中反复使用抗量子攻击静态身份认证方法导致效率低下的问题,本文提出了一种抗量子攻击连续身份认证协议。首先,在初始认证阶段,为了降低计算复杂度,改进了CRYSTALS-Kyber算法中的密钥加密机制,并结合NTRU消息恢复数字签名方案,构建了基于晶格的显式AKE(Kyber NTRU. AKE),实现了相互认证和协商共享令牌。其次,在持续认证阶段,将抗量子攻击令牌纳入当前算法,提高认证效率。形式分析结果表明,与CRYSTALS-Kyber算法中弱前向安全的Kyber.AKE相比,Kyber-NTRU.AKE实现了完全的前向保密,而非形式分析结果则证明了连续认证阶段的安全性。通过理论分析以及与Cyber.AKE的效率对比,分析表明Cyber-NTRU.AKE比Cyber.AKE具有更高的计算效率和通信效率。
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Continuous identity authentication protocol against quantum attacks in satellite integrated smart grid

To address the issue of low efficiency caused by the repeated use of quantum attack resistant static identity authentication methods in a satellite integrated smart grid, this paper proposes a quantum attack resistant continuous identity authentication protocol. First, in the initial authentication stage, in order to reduce computational complexity, the key encryption mechanism in the CRYSTALS-Kyber algorithm was improved and combined with the NTRU message recovery digital signature scheme to construct a lattice based explicit AKE (Kyber NTRU. AKE), which achieved mutual authentication and negotiated shared tokens. Second, in the continuous authentication stage, incorporating quantum attack resistant tokens into the current algorithm to improve authentication efficiency. The formal analysis results indicate that compared to the weakly forward secure Kyber.AKE in the CRYSTALS-Kyber algorithm, Kyber-NTRU.AKE achieves complete forward secrecy, while the non-formal analysis results demonstrate the security of the continuous authentication phase. Through theoretical analysis and efficiency comparison with Cyber.AKE, the analysis shows that the Cyber-NTRU.AKE has higher computational and communication efficiency than Cyber.AKE.

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来源期刊
Computational Intelligence
Computational Intelligence 工程技术-计算机:人工智能
CiteScore
6.90
自引率
3.60%
发文量
65
审稿时长
>12 weeks
期刊介绍: This leading international journal promotes and stimulates research in the field of artificial intelligence (AI). Covering a wide range of issues - from the tools and languages of AI to its philosophical implications - Computational Intelligence provides a vigorous forum for the publication of both experimental and theoretical research, as well as surveys and impact studies. The journal is designed to meet the needs of a wide range of AI workers in academic and industrial research.
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