@inproceedings{b8e89edaf2f3481fb667f48054580615,
title = "Special session: Emerging (un-)reliability based security threats and mitigations for embedded systems",
abstract = "Tis paper addresses two reliability-based security threats and mitigations for embedded systems namely, aging and thermal side channels. Device aging can be used as a hardware atack vector by using voltage scaling or specially crafted instruction sequences to violate embedded processor guard bands. Short-term aging effects can be utilized to cause transient degradation of the embedded device without leaving any trace of the atack. (Termal) side channels can be used as an atack vector and as a defense. Specifically, thermal side channels are an effective and secure way to remotely monitor code execution on an embedded processor and/or to possibly leak information. Although various algorithmic means to detect anomaly are available, machine learning tools are effective for anomaly detection. We will show such utilization of deep learning networks in conjunction with thermal side channels to detect code injection/modification representing anomaly.",
keywords = "Cyber-physical systems, Embedded systems, Infrared images, Long-term aging, Reliability, Short-term aging, Side channels, Termal measurements",
author = "Hussam Amrouch and J{\"o}rg Henkel and Prashanth Krishnamurthy and Ramesh Karri and Naman Patel and Farshad Khorrami",
note = "Publisher Copyright: {\textcopyright} 2017 ACM.; 2017 International Conference on Compilers, Architectures and Synthesis for Embedded Systems, CASES 2017 ; Conference date: 15-10-2017 Through 20-10-2017",
year = "2017",
month = oct,
day = "15",
doi = "10.1145/3125501.3125529",
language = "English",
series = "Proceedings of the 2017 International Conference on Compilers, Architectures and Synthesis for Embedded Systems Companion, CASES 2017",
publisher = "Association for Computing Machinery, Inc",
booktitle = "Proceedings of the 2017 International Conference on Compilers, Architectures and Synthesis for Embedded Systems Companion, CASES 2017",
}