The classifier judged this item not relevant to AI security, so it is left out of lists, feeds, the API and dataset releases. If that is wrong, report a correction on this page.
InfoResearchPeer-reviewed
GraphWave: A Dynamic Context-Adaptive Multimodal Feature Fusion Framework for Threat Detection
- Published
- Record updated
Summary
GraphWave is a multimodal framework for network traffic classification that builds maximal connected subgraphs from attacker, target and temporal context, then fuses wavelet-enhanced dynamic graph attention with Transformer temporal encoding through cross-attention. Evaluated on six real-world datasets, it reaches a 99.13% F1-score, outperforming state-of-the-art methods by 7.62% on average, and the authors report robustness against traffic obfuscation, temporal confusion and low-and-slow evasion.