An Anomalous Behavior Detection Method for IoT Devices Based on Power Waveform Shapes

Kota Hisafuru*, Kazunari Takasaki, Nozomu Togawa

*この研究の対応する著者

研究成果: Conference contribution

抄録

In recent years, with the wide spread of the Internet of Things (IoT) devices, security issues for hardware devices have been increasing, where detecting their anomalous behaviors becomes quite important. One of the effective methods for detecting anomalous behaviors of IoT devices is to utilize operation duration time and consumed energy extracted from their power waveforms. However, the existing methods do not consider the shape of time-series data and cannot distinguish between power waveforms with similar duration time and consumed energy but different shapes. In this paper, we propose a method for detecting anomalous behaviors based on the shape of time-series data by incorporating a shape-based distance (SBD) measure. The proposed method firstly obtains the entire power waveform of the target IoT device and extract several application power waveforms. After that, we give the invariances to them and we can effectively obtain the SBD between every two application power waveforms. Based on the SBD values, the local outlier factor (LOF) method can finally distinguish between normal application behaviors and anomalous application behaviors. Experimental results demonstrate that the proposed method successfully detects the anomalous application behaviors, while the existing method fails to detect them.

本文言語English
ホスト出版物のタイトルProceedings - 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design, IOLTS 2022
編集者Alessandro Savino, Paolo Rech, Stefano Di Carlo, Dimitris Gizopoulos
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781665473552
DOI
出版ステータスPublished - 2022
イベント28th IEEE International Symposium on On-Line Testing and Robust System Design, IOLTS 2022 - Torino, Italy
継続期間: 2022 9月 122022 9月 14

出版物シリーズ

名前Proceedings - 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design, IOLTS 2022

Conference

Conference28th IEEE International Symposium on On-Line Testing and Robust System Design, IOLTS 2022
国/地域Italy
CityTorino
Period22/9/1222/9/14

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • 情報システム
  • 情報システムおよび情報管理
  • 輸送

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