Virtual Triggering: a Technique to Segment Cryptographic Processes in Side Channel Traces
Jeremy Guillaume, Maxime Pelcat, Amor Nafkha, Rub\'en Salvador

TL;DR
This paper introduces Virtual Triggering, a method to automatically segment cryptographic process traces in side-channel attacks without needing explicit trigger signals, improving attack efficiency and robustness against timing variations.
Contribution
The paper presents Virtual Triggering, a novel automated trace segmentation technique that eliminates the need for trigger signals and enhances attack effectiveness against variable timing in side-channel scenarios.
Findings
VT performs comparably to frequency component triggers in standard scenarios.
Using VT with automatic pullout improves attack efficiency.
VT enables successful attacks with fewer segments and handles timing variations.
Abstract
Side-Channel Attacks (SCAs) exploit data correla-tion in signals leaked from devices to jeopardize confidentiality. Locating and synchronizing segments of interest in traces from Cryptographic Processes (CPs) is a key step of the attack. The most common method consists in generating a trigger signal to indicate to the attacker the start of a CP. This paper proposes a method called Virtual Triggering (VT) that removes the need for the trigger signal and automates trace segmentation. When the time between repetitions is not constant, further trace alignment techniques are required. Building on VT, we propose a simple method to learn representative segment templates from a profiling device similar to the victim, and to automatically locate and pull out these segments from other victim devices using simple pattern recognition. We evaluate VT on screaming channel attacks [1], which initially…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCryptographic Implementations and Security · Digital Media Forensic Detection · Bacillus and Francisella bacterial research
