Leaking your engine speed by spectrum analysis of real-time scheduling sequences

Leaking your engine speed by spectrum analysis of real-time scheduling sequences

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-trigge...

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Bibliographic Details
Main Authors: Liu, Songran, Guan, Nan, Ji, Dong, Liu, Weichen, Liu, Xue, Yi, Wang
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2020
Subjects:
Engineering::Computer science and engineering
Real-time System
Scheduling Sequences
Online Access:https://hdl.handle.net/10356/144755
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Institution: Nanyang Technological University
Language: English
Description
Summary: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.

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