Constraint Migration: A Formal Theory of Throughput in AI Cybersecurity Pipelines
2026-03-31T07:23:37Z•e095a76e1dc0ca354e3444fea8aed47d2c9707e363706c6eb7ff83a3f2ead2a1
DDoS-mitigationDeeptraVulKubernetesLLM-red-teamSovereign-Context-ProtocolTFHEZK-ACEadversarial-automationautonomous-penetration-testingautoscalingbiometric-privacycross-chain-paymentsdata-attributiondifferential-privacyeBPFhomomorphic-encryptioniris-recognitionnon-interactive-kmeansprivacyprivacy-preserving-mlprotracted-vulnerabilitiesrelay-privacyspiking-neural-networksvulnerability-detectionzk-proofs
What happened
This feed aggregates 11 new arXiv submissions (Mar 31, 2026) with multiple security-relevant contributions: (1) Red-MIRROR — an agentic, LLM-driven autonomous penetration-testing framework with reflective verification and knowledge augmentation (dual-use offensive capability risk); (2) SPARK — an eBPF-based, traffic-aware predictive autoscaling tool for Kubernetes that improves availability and defends against DDoS-like surges; (3) HFIPay — a relay-assisted, privacy-preserving scheme for human-friendly cross-chain payments using blinded bindings and ZK proofs (focus on enumeration resistance,
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_cr
- Record identifier
- e095a76e1dc0ca354e3444fea8aed47d2c9707e363706c6eb7ff83a3f2ead2a1
- Enrichment time
- 2026-03-31T07:23:37Z
- AI-assisted enrichment
- Yes
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