LSTable:物联网中嵌入式设备对抗侧信道攻击的新白盒密码

IF 5.4 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Yang Shi;Yimin Li;Qiaoliang Ouyang;Jiayao Gao;Shengjie Zhao
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引用次数: 0

摘要

传感器和监控摄像头等嵌入式设备在物联网(IoT)中发挥着至关重要的作用。然而,它们的无人值守和无线特性使它们面临侧信道攻击的高风险。这些攻击利用通过侧通道泄露的信息来推断密钥,甚至提取加密算法的实现。拥有这些知识使攻击者能够解密在物联网设备之间传输的敏感信息,对数据机密性构成重大威胁。为了解决这个问题,我们提出了LSTable,一种受LS-Design启发的新型白盒密码。LSTable没有直接使用秘密密钥进行加密和解密,而是将秘密密钥转换为依赖于密钥的查找表,以减轻侧信道攻击,并且这些表的大小被设计为适合嵌入式设备的硬件约束。通过对LSTable的安全性分析,显示了其在黑盒模型和白盒模型下的安全性。此外,在不同设备上的实验评估表明,即使是最慢的LSTable实例的效率也是现有具有物联网友好表大小的空间硬白盒密码的2.2至14.8倍,而能耗仅为1/13至1/3左右。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
LSTable: A New White-Box Cipher for Embedded Devices in IoT Against Side-Channel Attacks
Embedded devices such as sensors and surveillance cameras play a critical role in the Internet of Things (IoT). However, their unattended and wireless features expose them to a high risk of side-channel attacks. These attacks exploit information leakage through side channels to deduce secret keys or even extract implementations of cryptographic algorithms. The possession of such knowledge empowers attackers to decrypt sensitive information transmitted among IoT devices, posing a significant threat to data confidentiality. To address this issue, we propose LSTable, a new white-box cipher enlightened by LS-Design. Instead of directly using secret keys for encryption and decryption, LSTable transforms secret keys into key-dependent lookup tables to mitigate side-channel attacks, and the size of these tables is designed to fit the hardware constraints of embedded devices. The security analysis of LSTable shows its security in both the black-box and white-box models. Furthermore, experimental evaluations on different devices exhibit that even the efficiency of the slowest instances of LSTable is 2.2 to 14.8 times that of existing space-hard white-box ciphers with IoT-friendly table sizes, while the energy consumption is only around 1/13 to 1/3.
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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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