后量子环境中支持rfid的轻量级认证协议

IF 4 3区 计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Haradhan Ghosh , Pramod Kumar Maurya , Satya Bagchi , Ashutosh Dhar Dwivedi
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引用次数: 0

摘要

RFID技术广泛应用于各行各业的非接触式识别和跟踪。然而,量子计算的兴起威胁着经典的加密协议。为了解决这个问题,我们提出了一种基于错误环学习(RLWE)问题的轻量级RFID协议,确保后量子安全,同时保持资源受限环境的效率。RLWE问题为构建抗量子密码方案提供了坚实的基础。使用随机oracle模型和Scyther工具的正式安全性证明证实了其抗攻击的稳健性。此外,我们评估了协议的安全性,计算和通信成本,证明了其在RFID系统中的可行性。这项工作为物联网(IoT)和其他无处不在的计算环境推进了后量子加密解决方案,确保了长期的安全和隐私。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Lightweight RFID-enabled authentication protocol in post-quantum environment

Lightweight RFID-enabled authentication protocol in post-quantum environment
RFID technology is widely used for contactless identification and tracking across various sectors. However, the rise of quantum computing threatens classical cryptographic protocols. To address this, we propose a lightweight RFID protocol based on the Ring Learning With Errors (RLWE) problem, ensuring post-quantum security while maintaining efficiency for resource-constrained environments. The RLWE problem provides a strong foundation for constructing quantum-resistant cryptographic schemes. Formal security proofs using the random oracle model and Scyther tool confirm its robustness against attacks. Additionally, we evaluate the protocol’s security, computation, and communication costs, demonstrating its feasibility for RFID systems. This work advances post-quantum cryptographic solutions for the Internet of Things (IoT) and other ubiquitous computing environments, ensuring long-term security and privacy.
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来源期刊
Computers & Electrical Engineering
Computers & Electrical Engineering 工程技术-工程:电子与电气
CiteScore
9.20
自引率
7.00%
发文量
661
审稿时长
47 days
期刊介绍: The impact of computers has nowhere been more revolutionary than in electrical engineering. The design, analysis, and operation of electrical and electronic systems are now dominated by computers, a transformation that has been motivated by the natural ease of interface between computers and electrical systems, and the promise of spectacular improvements in speed and efficiency. Published since 1973, Computers & Electrical Engineering provides rapid publication of topical research into the integration of computer technology and computational techniques with electrical and electronic systems. The journal publishes papers featuring novel implementations of computers and computational techniques in areas like signal and image processing, high-performance computing, parallel processing, and communications. Special attention will be paid to papers describing innovative architectures, algorithms, and software tools.
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