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|Title:||Leaking your engine speed by spectrum analysis of real-time scheduling sequences||Authors:||Liu, Songran
|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.||URI:||https://hdl.handle.net/10356/144755||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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