Graph Learning for Interactive Threat Detection in Heterogeneous Smart Home Rule Data

Summary: Glint, a graph-learning system, detects interactive threats in heterogeneous smart-home rule data via ITGNN. Trains on data from five platforms; uses contrastive learning for detection and transfer learning to generalize, unveiling four threat types. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 6605
Venue: SIGMOD
Year: 2023
Pagerank: -
Overall Rank: 13,182 | 8.30%
DOI: 10.1145/3588956

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