INTEL_REPORT
arXiv — Cryptography & Security (cs.CR) · published 6/2/2026, 4:00:00 AM · TLP amber
Summary
Ingested excerpt (first ~500 chars of normalized text).
XAI-SOH-FL: Enhancing SOH-FL with Adaptive Aggregation and Explainable AI for Intrusion Detection in Heterogeneous IoT arXiv:2606.00134v1 Announce Type: new Abstract: Intrusion Detection Systems (IDS) in Internet of Things (IoT) environments face significant challenges due to data heterogeneity, lack of labeled data, and limited model interpretability. Federated Learning (FL) offers a privacy-preserving solution; however, existing approaches such as SOH-FL suffer from two ke…
https://arxiv.org/abs/2606.00134
sha256:a7ef240f8fcf8d8e6d69ca6f2c1d096dc78c769a61b3c0114e9d479c608e431c
What we pulled out
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Indicators
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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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