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

Kento Hasegawa, Kiyoshi Chikamatsu, Nozomu Togawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publication2019 IEEE 25th International Symposium on On-Line Testing and Robust System Design, IOLTS 2019
EditorsDimitris Gizopoulos, Dan Alexandrescu, Panagiota Papavramidou, Michail Maniatakos
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages54-57
Number of pages4
ISBN (Electronic)9781728124902
DOIs
Publication statusPublished - 2019 Jul
Event25th IEEE International Symposium on On-Line Testing and Robust System Design, IOLTS 2019 - Rhodes, Greece
Duration: 2019 Jul 12019 Jul 3

Publication series

Name2019 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
CountryGreece
CityRhodes
Period19/7/119/7/3

Keywords

  • accurate power analysis
  • anomaly behavior
  • malicious function
  • micro-controller
  • outlier detection

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Safety, Risk, Reliability and Quality

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  • Cite this

    Hasegawa, K., Chikamatsu, K., & Togawa, N. (2019). Empirical Evaluation on Anomaly Behavior Detection for Low-Cost Micro-Controllers Utilizing Accurate Power Analysis. In D. Gizopoulos, D. Alexandrescu, P. Papavramidou, & M. Maniatakos (Eds.), 2019 IEEE 25th International Symposium on On-Line Testing and Robust System Design, IOLTS 2019 (pp. 54-57). [8854456] (2019 IEEE 25th International Symposium on On-Line Testing and Robust System Design, IOLTS 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IOLTS.2019.8854456