AgentGuard detects package confusion attacks via multi-agent hybrid name search plus fused metadata-content ML analysis, raising precision 12-49% and cutting false positives 11-35% versus baselines on ConfuDB and NeupaneDB.
Similarity as a risk factor in drug-name confu- sion errors: the look-alike (orthographic) and sound-alike (phonetic) model.Medical care, 37:1214–25, 01 2000
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AgentGuard: A Multi-Agent Framework for Robust Package Confusion Detection via Hybrid Search and Metadata-Content Fusion
AgentGuard detects package confusion attacks via multi-agent hybrid name search plus fused metadata-content ML analysis, raising precision 12-49% and cutting false positives 11-35% versus baselines on ConfuDB and NeupaneDB.