Micro-Segmentation Anomaly Detection in Zero-Trust Software-Defined Network Fabrics
arXiv 2608.02627•3c15e9a337eba5441c960e8ece276058fdbe1ce19e4ed62effe01dbb2e44dc7a
AI-securityDevSecOpsDockerLLM-securitySDNTerraformanomaly-detectioncloud-securitycontainer-securityfairnesshardware-performance-countersindirect-prompt-injectioninfrastructure-as-codemalware-detectionmicro-segmentationmisconfigurationmodel-safetysecrets-managementvulnerabilitieswatermarkingzero-knowledge-proofszero-trust
Paper metadata
- arXiv ID
- 2608.02627
- Version
- Not specified by this published record
- Category
- Computer Science — Cryptography and Security (cs.CR)
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Evidence and limitations
- Source ID
- arxiv_cs_cr
- Record identifier
- 3c15e9a337eba5441c960e8ece276058fdbe1ce19e4ed62effe01dbb2e44dc7a
- Enrichment time
- 2026-08-05T07:23:26Z
- AI-assisted enrichment
- Yes
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