{"data":{"id":"40309aba-15de-467f-bf42-d5a653751aba","title":"GNN-Guided Selection of Benign-like Anomalies for Backdoor Attacks Against Network Intrusion Detection Systems","summary":"This paper studies a backdoor attack on AI-based network intrusion detection systems (NIDSs). The method uses the embedding space of a Graph Attention Network (GAT) to pick anomalous samples close to benign traffic, adds a benign-distribution trigger, and relabels them as benign before retraining TabNet, ACID, and AlertNet. Tests on NSL-KDD, CICIDS2017, and UNSW-NB15 show high attack success rates, but the gain over random selection is uneven and marginal or absent where the random baseline is already saturated.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"https://doi.org/10.3390/electronics15194560","publishedAt":"2026-10-08T00:00:00.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"low","attackType":["model_poisoning"],"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":"2026-10-08T00:00:00.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["integrity"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.9,"researchCategory":"peer_reviewed","atlasIds":null}}