Detecting the Existence of Malfunctions in Microcontrollers Utilizing Power Analysis

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

    Abstract

    Microcontrollers are widely used in electric devices such as smart phones, televisions, and other smart IoT (Internet-of-Things) devices. Because of the increase of these smart IoT devices, the security of hardware devices becomes a serious concern. In this paper, we propose a method which detects the existence of malfunctions implemented in microcontrollers utilizing power analysis. Our method firstly measures power consumption of the target device and classifies its waveform into the sleep-mode part, in which a microcontroller saves power, and the active-mode part, in which a microcontroller works in a normal operation. After that, we focus on the active-mode part and extract several features from the waveform, which effectively distinguish between normal operations and malfunctions. Finally, we classify the features and identify whether malfunctions exist or not. Our experimental results demonstrate that our proposed method successfully detects the existence of malfunctions in our benchmark.

    Original languageEnglish
    Title of host publication2018 IEEE 24th International Symposium on On-Line Testing and Robust System Design, IOLTS 2018
    EditorsMihalis Maniatakos, Dan Alexandrescu, Dimitris Gizopoulos, Panagiota Papavramidou
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages97-102
    Number of pages6
    ISBN (Electronic)9781538659922
    DOIs
    Publication statusPublished - 2018 Sep 26
    Event24th IEEE International Symposium on On-Line Testing and Robust System Design, IOLTS 2018 - Platja D'Aro, Spain
    Duration: 2018 Jul 22018 Jul 4

    Other

    Other24th IEEE International Symposium on On-Line Testing and Robust System Design, IOLTS 2018
    CountrySpain
    CityPlatja D'Aro
    Period18/7/218/7/4

    Fingerprint

    Microcontrollers
    Television
    Electric power utilization
    Hardware
    Internet of things

    Keywords

    • hardware security
    • malfunction
    • microcontroller
    • power analysis
    • sleep mode

    ASJC Scopus subject areas

    • Hardware and Architecture
    • Software
    • Safety, Risk, Reliability and Quality

    Cite this

    Hasegawa, K., Yanagisawa, M., & Togawa, N. (2018). Detecting the Existence of Malfunctions in Microcontrollers Utilizing Power Analysis. In M. Maniatakos, D. Alexandrescu, D. Gizopoulos, & P. Papavramidou (Eds.), 2018 IEEE 24th International Symposium on On-Line Testing and Robust System Design, IOLTS 2018 (pp. 97-102). [8474113] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IOLTS.2018.8474113

    Detecting the Existence of Malfunctions in Microcontrollers Utilizing Power Analysis. / Hasegawa, Kento; Yanagisawa, Masao; Togawa, Nozomu.

    2018 IEEE 24th International Symposium on On-Line Testing and Robust System Design, IOLTS 2018. ed. / Mihalis Maniatakos; Dan Alexandrescu; Dimitris Gizopoulos; Panagiota Papavramidou. Institute of Electrical and Electronics Engineers Inc., 2018. p. 97-102 8474113.

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

    Hasegawa, K, Yanagisawa, M & Togawa, N 2018, Detecting the Existence of Malfunctions in Microcontrollers Utilizing Power Analysis. in M Maniatakos, D Alexandrescu, D Gizopoulos & P Papavramidou (eds), 2018 IEEE 24th International Symposium on On-Line Testing and Robust System Design, IOLTS 2018., 8474113, Institute of Electrical and Electronics Engineers Inc., pp. 97-102, 24th IEEE International Symposium on On-Line Testing and Robust System Design, IOLTS 2018, Platja D'Aro, Spain, 18/7/2. https://doi.org/10.1109/IOLTS.2018.8474113
    Hasegawa K, Yanagisawa M, Togawa N. Detecting the Existence of Malfunctions in Microcontrollers Utilizing Power Analysis. In Maniatakos M, Alexandrescu D, Gizopoulos D, Papavramidou P, editors, 2018 IEEE 24th International Symposium on On-Line Testing and Robust System Design, IOLTS 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 97-102. 8474113 https://doi.org/10.1109/IOLTS.2018.8474113
    Hasegawa, Kento ; Yanagisawa, Masao ; Togawa, Nozomu. / Detecting the Existence of Malfunctions in Microcontrollers Utilizing Power Analysis. 2018 IEEE 24th International Symposium on On-Line Testing and Robust System Design, IOLTS 2018. editor / Mihalis Maniatakos ; Dan Alexandrescu ; Dimitris Gizopoulos ; Panagiota Papavramidou. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 97-102
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