TriSweep: A Four-Drone Swarm Framework for Electromagnetic Side-Channel Analysis

• URL: http://arxiv.org/abs/2605.22709v1
• Date: Thu, 21 May 2026 16:47:44 GMT
• Title: TriSweep: A Four-Drone Swarm Framework for Electromagnetic Side-Channel Analysis
• Abstract summary: TriSweep is a simulation framework that designs and evaluates a four-drone swarm architecture for autonomous standoff EM-SCA.<n>Three spatially specialized collector drones feed a stationary Accumulator drone that performs coherent combining.<n>No physical hardware has been fabricated; prototype construction is the planned next step.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Electromagnetic (EM) side-channel analysis traditionally assumes a stationary, close-proximity probe - a threat model that underestimates aerial adversaries. TriSweep is a simulation framework that designs and evaluates a four-drone swarm architecture for autonomous standoff EM-SCA of embedded microcontrollers at 0.25-1.5 m. Three spatially specialized collector drones - Anchor (full-spectrum), Mask Probe (mask-register loading leakage), and Cipher Probe (masked SubBytes output leakage) - feed a stationary Accumulator drone that performs coherent combining (+4.8 dB SNR gain) and second-order mask cancellation via a centered product of the two spatially separated leakage streams. Evaluated against three real ANSSI ASCAD datasets (ATmega8515 masked AES-128 and 50/100-sample desynchronized variants), the framework achieves a simulated key rank of 18 +/- 1.7 (five-seed) at 0.25 m on the primary masked dataset. Profiling-trace cross-correlation alignment reduces single-drone rank from 89 to 21 on the 100-sample-jitter variant, demonstrating compensation for drone hover vibration. A two-channel CNN in the Accumulator converges to a loss of 0.454 (vs. random baseline 5.545) and improves rank on desynchronized datasets. No physical hardware has been fabricated; prototype construction is the planned next step.

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