INTEL_REPORT
arXiv — Cryptography & Security (cs.CR) · published 5/20/2026, 4:00:00 AM · TLP amber
Summary
Ingested excerpt (first ~500 chars of normalized text).
Quantum Machine Learning for Cyber-Physical Anomaly Detection in Unmanned Aerial Vehicles: A Leakage-Free Evaluation with Proxy-Audited Feature Sets arXiv:2605.19233v1 Announce Type: new Abstract: Unmanned aerial vehicles (UAVs) are cyber-physical systems whose attack surface spans networked avionics and on-board sensor fusion: a compromised GPS or battery module can mimic a benign mission segment and evade naive anomaly detectors. We present a leakage-free evaluation of qua…
https://arxiv.org/abs/2605.19233
sha256:f6ae65758e2a5bf4e6af3920a6cbcacf26bf8c233352b0eba23ee3a7786e186e
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ATT&CK techniques
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