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Trustworthy IAP: An Intelligent Applications Profiler to Investigate Vulnerabilities of Consumer Electronic Devices

Su, Jie; Hong, Zhen; Ye, Lei; Liu, Tao; Liang, Sizhuang; Ji, Shouling; Aujla, Gagangeet Singh; Beyah, Reheem; Wen, Zhenyu

Trustworthy IAP: An Intelligent Applications Profiler to Investigate Vulnerabilities of Consumer Electronic Devices Thumbnail


Authors

Jie Su

Zhen Hong

Lei Ye

Tao Liu

Sizhuang Liang

Shouling Ji

Reheem Beyah

Zhenyu Wen



Abstract

As a typical representative of the Internet of Energy (IoE) intelligent era, consumer electronic (CE) devices continue to evolve at a remarkable pace. Computers, as typical and essential CE devices, have been instrumental in enhancing efficiency, communication, entertainment, and information access. As part of this evolution, a significant trend in computer design focuses on achieving low power consumption while maintaining high performance. For instance, a computer’s central processing unit (CPU) dynamically modulates its output power in response to the varying workload demands of running applications. However, these power efficiency mechanisms may inadvertently introduce implicit patterns into the operational states of CE devices. Particularly, the power consumption of a CE device executing various tasks can manifest distinguishable temporal patterns, thereby exposing potential vulnerabilities. Thus, this work aims to investigate the vulnerabilities of CE devices on power consumption mechanisms. We focus on exploring the possibility of using alternating current (AC) power consumption to infer the running applications on a consumer computer. To achieve that, we construct a physical attack system that employs data acquisition, processing, classification, and inference stages to establish a “profiler" for application profiling. The extensive experiment results on the self-collected power consumption dataset (36 applications) demonstrate the effectiveness of the attacking system.

Citation

Su, J., Hong, Z., Ye, L., Liu, T., Liang, S., Ji, S., Aujla, G. S., Beyah, R., & Wen, Z. (online). Trustworthy IAP: An Intelligent Applications Profiler to Investigate Vulnerabilities of Consumer Electronic Devices. IEEE Transactions on Consumer Electronics, 70(1), 4605 - 4616. https://doi.org/10.1109/tce.2023.3347651

Journal Article Type Article
Acceptance Date Dec 16, 2023
Online Publication Date Dec 27, 2023
Deposit Date Apr 8, 2024
Publicly Available Date Apr 11, 2024
Journal IEEE Transactions on Consumer Electronics
Print ISSN 0098-3063
Electronic ISSN 1558-4127
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 70
Issue 1
Pages 4605 - 4616
DOI https://doi.org/10.1109/tce.2023.3347651
Keywords Electrical and Electronic Engineering; Media Technology
Public URL https://durham-repository.worktribe.com/output/2380008

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