Extracting Power Signature from Low Dropout Voltage Regulator for IoT Security

D. Thompson, Haibo Wang
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Abstract

Power analysis or power fingerprinting has been demonstrated as a potent tool to detect malicious operation or adversary attacks. However, current methods to extract power traces used in power fingerprinting typically require the use of bulky and power hungry bench equipment, which prevents integrating the power analysis method in miniature IoT devices. This work presents a novel method to extract the power signature of IoT devices. The proposed method takes advantage of the digital control signals of digital LDO circuits and generates the power signature with simple circuits. The proposed circuits can be integrated into digital LDO chips and hence is suitable for IoT applications.
基于物联网安全的低压稳压器功率特征提取
功率分析或功率指纹已被证明是检测恶意操作或对手攻击的有效工具。然而,目前提取功率指纹中使用的功率走线的方法通常需要使用体积庞大且耗电的工作台设备,这阻碍了将功率分析方法集成到微型物联网设备中。本文提出了一种提取物联网设备功率特征的新方法。该方法利用数字LDO电路的数字控制信号,用简单的电路生成功率签名。所提出的电路可以集成到数字LDO芯片中,因此适用于物联网应用。
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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