INTEL_REPORT
arXiv — Cryptography & Security (cs.CR) · published 6/18/2026, 4:00:00 AM · TLP amber
Summary
Ingested excerpt (first ~500 chars of normalized text).
A Predictive Neural Network Architecture for Early Detection of Low-Rate Cyberattacks arXiv:2606.18771v1 Announce Type: new Abstract: Low-Rate Denial of Service (LDoS) attacks pose a significant challenge to IoT networks due to their subtle and prolonged nature, often evading traditional intrusion detection systems. This paper presents IDQS (Intrusion Detection via QoS Prediction), a lightweight and proactive framework for early LDoS attack detection. IDQS integrates two new…
https://arxiv.org/abs/2606.18771
sha256:e209f66619712abc89200e3577828947d2afcfdd6759a518f8247344429420da
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Indicators
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Malware families
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Threat actors mentioned
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ATT&CK techniques
MITRE IDs referenced in text and present in local technique table.
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