TriSweep: 電磁サイドチャネル解析のための4ドローンスウォームフレームワーク
TriSweep: A Four-Drone Swarm Framework for Electromagnetic Side-Channel Analysis
4台のドローン群を用いて、離れた位置から組み込みマイコンの電磁波漏洩を解析するシミュレーションフレームワークを提案。マスク対策されたAES暗号の鍵を推定する。
著者: Eric Yocam, Varghese Vaidyan
分類: cs.CR, cs.ET, cs.RO, cs.SY, eess.SY
原文アブストラクト
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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