DCBA: Detection of Collaborative Black-Hole Attacks in Connected Dominated Set using Baiting Process
arXiv 2608.12347•afca339f3ce78f3d56744bf6efd550e64d754348c791ea3ff9401efa1d5f7ea3
AI securityAODVATT&CKArm CCALLM intrusion detectionLLM watermarkingMANETML robustnessO-RANPyPI securityPython bytecodeagent securityautomated security decisionsblack-hole attacksblockchain forensicscellular networksconfidential computingdata provenancefuzzingphishing detectionprivacyprompt injectionrootkitstamper detectionvirtual machine introspection
Paper metadata
- arXiv ID
- 2608.12347
- 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
- afca339f3ce78f3d56744bf6efd550e64d754348c791ea3ff9401efa1d5f7ea3
- Enrichment time
- 2026-08-14T07:23:25Z
- AI-assisted enrichment
- Yes
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