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改进了对CTR DRBG的侧通道攻击,使用集群算法

Jaeseung Han¹, Dong-Guk Han¹

¹Department of Financial Information Security, Kookmin University, Seoul 02707, Republic of Korea.

Sensors (Basel, Switzerland)

|July 12, 2025

概括

这项研究增强了对物联网设备中使用的确定性随机位生成器 (DRBG) 的侧通道攻击. 通过结合集群,改进的攻击提高了成功率,并在杂的环境中有效运行,构成更大的安全威胁.

科学领域:

密码学和信息安全信息安全
嵌入式系统安全嵌入式系统安全
侧通道分析侧通道分析

背景情况:

确定性随机位生成器 (DRBG) 对物联网设备的加密安全至关重要.
对DRBG的攻击可以危及密钥等敏感信息,威胁整个系统.
迈耶的2020侧通道攻击 (SCA) 针对使用功耗分析的NIST标准AES CTR DRBG.

研究的目的:

为了增强迈耶的SCA方法对抗AES CTR DRBG.
为了提高攻击的成功率和信息恢复.
为了在噪音较高的环境中进行攻击.

主要方法:

拟议的方法将一个集群算法集成到Meyer的四阶段SCA中.
在第一阶段应用聚类来提高成功率和信息获取.
集群结果被用来提高后续攻击阶段的准确性.

主要成果:

与迈耶的攻击相比,增强攻击在第一阶段表现出更高的成功率,涉及所有噪音级别.
在初始阶段,在高噪音水平下观察到高达50%的性能改善.
攻击的第3步和第4步显示,与原始方法相比,平均性能提高了18.5%.

结论:

拟议的集群增强的SCA显著提高了对AES CTR DRBGs攻击的有效性.
增强的攻击更适应噪音,扩大了易受攻击的设备和环境的范围.
这项研究强调了使用CTR DRBGs的物联网设备的安全风险增加,以应对复杂的侧通道攻击.

关键词:

在 AES AES AES 中.DRBG DRBG 的意思是什么区块密码是一个区块密码.计数模式计数模式计数模式侧通道攻击侧通道攻击

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