INTEL_REPORT
arXiv — Cryptography & Security (cs.CR) · published 7/20/2026, 4:00:00 AM · TLP amber
Summary
Ingested excerpt (first ~500 chars of normalized text).
On the Impact of Entropy-based Features arXiv:2607.15379v1 Announce Type: new Abstract: Network anomaly detection is increasingly challenging due to the growing diversity and variability of traffic patterns, which are not always well captured by traditional statistical features. In this work, we explore the use of entropy as an additional feature to support supervised network traffic classification. The main idea is to use entropy to represent variability in selected traffic…
https://arxiv.org/abs/2607.15379
sha256:a451918bf77387554adfe2cca6b2c5094167c9745e9db8c349fbe470f2d3379e
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ATT&CK techniques
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