INTEL_REPORT
arXiv — Cryptography & Security (cs.CR) · published 6/11/2026, 4:00:00 AM · TLP amber
Summary
Ingested excerpt (first ~500 chars of normalized text).
SwarmSense-DNN: A Trustworthy and Decentralized Neural Framework for Proactive Anomaly Defense in Consumer IoT arXiv:2606.11803v1 Announce Type: new Abstract: The rapid growth of consumer IoT devices has introduced unprecedented challenges in trustworthy anomaly detection against AI-enabled cyber threats, requiring real-time, privacy-preserving, and scalable defense mechanisms. Traditional centralized strategies face critical limitations, including communication bottlenecks,…
https://arxiv.org/abs/2606.11803
sha256:d490d437d6dfd62cbda3871243a00c2fe06561a20ff6ffc2a6df4787b2f526e9
What we pulled out
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Indicators
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No indicators linked for this report.
Malware families
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Threat actors mentioned
Allowlist mentions — not a formal attribution verdict.
ATT&CK techniques
MITRE IDs referenced in text and present in local technique table.
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