Empirical Evaluation on Anomaly Behavior Detection for Low-Cost Micro-Controllers Utilizing Accurate Power Analysis

Kento Hasegawa, Kiyoshi Chikamatsu, Nozomu Togawa

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

Since hardware/software vendors produce their IoT products easily and inexpensively, they often outsource their designs to third-party vendors where malicious third-party vendors can have a chance to insert software Trojans as well as 'hardware Trojans' into their IoT devices. How to tackle the issue becomes a serious concern these days. In this paper, we propose an anomaly behavior detection method utilizing accurate power analysis for low-cost micro-controllers. Our method accurately measures power consumption of the target device, and then classifies its waveform into the sleep-mode part, in which a micro-controller saves power, and into the active-mode part, in which a micro-controller works in a normal operation. After that, we obtain the duration time and consumed power from each active-mode period as feature values. Finally, we detect abnormal behavior based on the obtained feature values utilizing an outlier detection method. In our experiments, we empirically evaluate the proposed method utilizing two types of micro-controllers, and the experimental results demonstrate that our proposed method successfully detects abnormal behaviors.

本文言語English
ホスト出版物のタイトル2019 IEEE 25th International Symposium on On-Line Testing and Robust System Design, IOLTS 2019
編集者Dimitris Gizopoulos, Dan Alexandrescu, Panagiota Papavramidou, Michail Maniatakos
出版社Institute of Electrical and Electronics Engineers Inc.
ページ54-57
ページ数4
ISBN(電子版)9781728124902
DOI
出版ステータスPublished - 2019 7
イベント25th IEEE International Symposium on On-Line Testing and Robust System Design, IOLTS 2019 - Rhodes, Greece
継続期間: 2019 7 12019 7 3

出版物シリーズ

名前2019 IEEE 25th International Symposium on On-Line Testing and Robust System Design, IOLTS 2019

Conference

Conference25th IEEE International Symposium on On-Line Testing and Robust System Design, IOLTS 2019
国/地域Greece
CityRhodes
Period19/7/119/7/3

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ ネットワークおよび通信
  • ハードウェアとアーキテクチャ
  • 安全性、リスク、信頼性、品質管理

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