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PRIDES-Based Abnormality Detection for Enhancing IoT Security
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DOI：10.1109/JIOT.2026.3682578.png)
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Abstract
En 中文
This article presents a novel IoT abnormality detection paradigm that generates and examines binary power rising descending signatures (PRIDESs). Unlike conventional power analysis-based methods that require the use of bulky instruments or data acquisition circuits (DAQ) to capture precision power trace data, the proposed method uses a low-overhead and robust circuit to generate PRIDES. Computation-light PRIDES analysis techniques and effective algorithms to generate optimal golden signatures (GSs) used in PRIDES analysis are also presented. Hardware experimental and simulation results are presented to demonstrate the effectiveness of the proposed techniques and the capabilities to cope with process variations. Owing to its low-overhead and computation-light advantages, the proposed techniques are suitable for IoT applications.
Keywords:
Abnormality detection
hardware security
Internet of Things
power signature analysis
Journal
IF:
8.9
Papers:
1.4W
Citations:
7.8W
