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Title: Leaking your engine speed by spectrum analysis of real-time scheduling sequences
Authors: Liu, Songran
Guan, Nan
Ji, Dong
Liu, Weichen
Liu, Xue
Yi, Wang
Keywords: Engineering::Computer science and engineering
Issue Date: 2019
Source: Liu, S., Guan, N., Ji, D., Liu, W., Liu, X., & Yi, W. (2019). Leaking your engine speed by spectrum analysis of real-time scheduling sequences. Journal of Systems Architecture, 97, 455-466. doi:10.1016/j.sysarc.2019.01.004
Journal: Journal of Systems Architecture
Abstract: This paper identifies and studies a new security/privacy issue for automobile vehicles. Specifically, attackers can infer the engine speed of a vehicle by observing and analyzing the real-time scheduling sequences on the Engine Control Unit (ECU). First, we present the problem model of engine-triggered task executed on ECU. And then, we introduce two Engine-triggered Task Period Tracing methods (DFT-based ETPT and FRSP-based ETPT) to infer the period variation of engine-triggered task. Finally, simulation experiments are conducted to demonstrate the effect of this new timing side-channel information leakage with our proposed methods.
ISSN: 1383-7621
DOI: 10.1016/j.sysarc.2019.01.004
Rights: © 2019 Published by Elsevier B.V. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Journal Articles

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