Blockchain-Enhanced PUF Authentication for IoT Devices

IF 4.8 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Mario Barbareschi;Franco Cirillo;Christian Esposito
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引用次数: 0

Abstract

The widespread use of Internet of Things (IoT) devices in various critical settings highlights the importance of robust authentication mechanisms to safeguard applications from misuse and breaches. Traditional authentication schemes rely on cryptographic protocols to ensure high levels of security. However, their effectiveness depends on maintaining the confidentiality of cryptographic keys and faces challenges when deployed on devices with limited resources. This paper presents a new approach for designing an authentication scheme that eliminates the need for storing keys in device memory and operates without a centralized authority. We propose a lightweight mutual authentication scheme that leverages Static Random Access Memory (SRAM)-based Physical Unclonable Function (PUF), utilizing the inherent randomness generated during SRAM manufacturing to create keys. The solution is further strengthened with blockchain technology, enabling decentralized management and authority. This research proposes a new secure authentication protocol for IoT-enabled critical industrial applications by incorporating decentralization, scalability, freshness, and non-repudiation. We evaluate the time and resource consumption of our implementation on the ATmega328P chip, which has limited resources with 2 KB of SRAM and 32 KB of flash memory, and formally prove the scheme security using the Scyther tool.
面向物联网设备的区块链增强PUF认证
物联网(IoT)设备在各种关键环境中的广泛使用凸显了强大的身份验证机制对于保护应用程序免受滥用和破坏的重要性。传统的身份验证方案依赖于加密协议来确保高级别的安全性。然而,它们的有效性取决于保持加密密钥的机密性,并且在资源有限的设备上部署时面临挑战。本文提出了一种设计认证方案的新方法,该方案消除了在设备内存中存储密钥的需要,并且无需集中授权即可操作。我们提出了一种轻量级的相互认证方案,该方案利用基于静态随机存取存储器(SRAM)的物理不可克隆功能(PUF),利用SRAM制造过程中产生的固有随机性来创建密钥。该解决方案通过区块链技术得到进一步加强,实现了分散的管理和权限。本研究为支持物联网的关键工业应用提出了一种新的安全认证协议,该协议结合了去中心化、可扩展性、新鲜度和不可否认性。我们评估了我们在ATmega328P芯片上实现的时间和资源消耗,该芯片的资源有限,只有2 KB的SRAM和32 KB的闪存,并使用Scyther工具正式证明了方案的安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Transactions on Emerging Topics in Computing
IEEE Transactions on Emerging Topics in Computing Computer Science-Computer Science (miscellaneous)
CiteScore
12.10
自引率
5.10%
发文量
113
期刊介绍: IEEE Transactions on Emerging Topics in Computing publishes papers on emerging aspects of computer science, computing technology, and computing applications not currently covered by other IEEE Computer Society Transactions. Some examples of emerging topics in computing include: IT for Green, Synthetic and organic computing structures and systems, Advanced analytics, Social/occupational computing, Location-based/client computer systems, Morphic computer design, Electronic game systems, & Health-care IT.
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