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.
Original language | English |
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Pages (from-to) | 455-466 |
Number of pages | 12 |
Journal | Journal of Systems Architecture |
Volume | 97 |
DOIs | |
Publication status | Published - Aug 2019 |
Keywords
- Real-time system
- Scheduling sequences
- Signal processing
ASJC Scopus subject areas
- Software
- Hardware and Architecture