{"data":{"id":"24976b27-c2a6-4b7c-9302-1b28958a1e4c","title":"FlowUAP: Evading Network Intrusion Detection Systems With Type-Specific Universal Adversarial Perturbations","summary":"FlowUAP is a framework that precomputes type-specific universal adversarial perturbations with a conditional GAN, constrained to a traffic-aware feature space, to evade flow-based network intrusion detection systems. It maps feature-space perturbations to packet-level operations on outbound traffic, avoiding costly per-flow optimization. Experiments on CIC-IDS2018 and ToN-IoT show strong attack effectiveness against diverse NIDS models.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11711205","publishedAt":"2026-09-25T05:06:31.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["model_evasion"],"issueType":"research","affectedPackages":null,"affectedPackageNames":null,"affectedPackageRefs":null,"affectedVendors":[],"affectedVendorsRaw":[],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","summaryPromptVersion":"v2","headline":null,"headlinePromptVersion":null,"cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"epssCheckedAt":null,"kevDateAdded":null,"advisoryAliases":null,"affectedPackagesSource":null,"affectedPackagesCheckedAt":null,"patchAvailable":null,"disclosureDate":"2026-09-25T05:06:31.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["integrity","availability"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.9,"researchCategory":"peer_reviewed","atlasIds":null}}