CRESTS: Chronology-based Reconstruction for Side-Channel Trace Segmentation for XTS-AES on Complex Targets

Krüger P, Wildermann S, Teich J (2024)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2024

Pages Range: 37-43

Conference Proceedings Title: EUROSEC '24: Proceedings of the 17th European Workshop on System Security

Event location: Athen GR

ISBN: 979-8-4007-0542-7/24/04

DOI: 10.1145/3642974.3652286

Abstract

Physical Side-Channel Analysis (SCA) is often restricted to less complex devices, such as microcontrollers, as more feature-rich targets, like microprocessor systems, contain possibly multiple sources of systemic noise that influence side-channels and their waveforms non-deterministically in the view of an observer. Thus, locating these waveforms using established waveform matching techniques and subsequent data association becomes impossible. This impedes the application of SCA techniques relying on the relationship of operation waveforms and their processed data. In order to address this issue, this paper presents the CRESTS algorithm, that is capable
of locating instances of target operations in larger side-channel traces affected by systemic noise. This enables to extract the waveforms of the relevant operations from the trace and, by maintaining
their overall sequence of occurrence, associate them with their corresponding data to then apply established SCA techniques. The effectiveness of our approach is evaluated by applying CRESTS on
the widespread XTS-AES algorithm running on a Beaglebone Black System-on-Chip (SoC) target platform.

Authors with CRIS profile

Paul Krüger Graduiertenkolleg 2475 Cyberkriminalität und Forensische Informatik Stefan Wildermann Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design) Jürgen Teich Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)

Related research project(s)

Cybercrime and Forensic Computing -- Hardware Security (GRK 2475) GRK2475: Cyberkriminalität und Forensische Informatik Oct. 1, 2019 - Oct. 1, 2028 GRK2475: Cyberkriminalität und Forensische Informatik (GRK 2475) Oct. 1, 2019 - Sept. 30, 2028

How to cite

APA:

Krüger, P., Wildermann, S., & Teich, J. (2024). CRESTS: Chronology-based Reconstruction for Side-Channel Trace Segmentation for XTS-AES on Complex Targets. In Association for Computing Machinery (ACM) (Eds.), EUROSEC '24: Proceedings of the 17th European Workshop on System Security (pp. 37-43). Athen, GR.

MLA:

Krüger, Paul, Stefan Wildermann, and Jürgen Teich. "CRESTS: Chronology-based Reconstruction for Side-Channel Trace Segmentation for XTS-AES on Complex Targets." Proceedings of the 17th European Workshop on Systems Security (EuroSec), Athen Ed. Association for Computing Machinery (ACM), 2024. 37-43.

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