{"data":{"id":"e5896c87-9f55-4cc7-87dc-87c2438485d7","title":"Contrast Duality of Adversarial Learningin Network Intrusion: A Review","summary":"This review surveys adversarial learning in network intrusion detection, covering data poisoning, test time evasion, and reverse engineering as offensive threats. It also examines adversarial training as a defense mechanism. The authors identify research gaps, including the scarcity of real-life attack data and limited evaluation of AI-based solutions for network traffic.","solution":"Adversarial training is described as a defense mechanism against adversarial learning attacks. The source does not state a specific fix or configuration change beyond this.","labels":["security","research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11285783","publishedAt":"2025-12-09T13:16:32.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["model_evasion","model_theft"],"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":"2025-12-09T13:16:32.000Z","fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["confidentiality","integrity","availability"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":"peer_reviewed","atlasIds":null}}