%0 Journal Article %1 journals/tifs/LiLJLYGY23 %A Li, Ximing %A Li, Xiaoyong %A Jia, Jia %A Li, Linghui %A Yuan, Jie %A Gao, Yali %A Yu, Shui %D 2023 %J IEEE Trans. Inf. Forensics Secur. %K dblp %P 1638-1652 %T A High Accuracy and Adaptive Anomaly Detection Model With Dual-Domain Graph Convolutional Network for Insider Threat Detection. %U http://dblp.uni-trier.de/db/journals/tifs/tifs18.html#LiLJLYGY23 %V 18

@article{journals/tifs/LiLJLYGY23, added-at = {2024-02-22T00:00:00.000+0100}, author = {Li, Ximing and Li, Xiaoyong and Jia, Jia and Li, Linghui and Yuan, Jie and Gao, Yali and Yu, Shui}, biburl = {https://www.bibsonomy.org/bibtex/2f297c126787aa7cfb878112b98c2b984/dblp}, ee = {https://doi.org/10.1109/TIFS.2023.3245413}, interhash = {fcf782cb79eafc4a0e9a2814f73d99c2}, intrahash = {f297c126787aa7cfb878112b98c2b984}, journal = {IEEE Trans. Inf. Forensics Secur.}, keywords = {dblp}, pages = {1638-1652}, timestamp = {2024-04-09T02:52:40.000+0200}, title = {A High Accuracy and Adaptive Anomaly Detection Model With Dual-Domain Graph Convolutional Network for Insider Threat Detection.}, url = {http://dblp.uni-trier.de/db/journals/tifs/tifs18.html#LiLJLYGY23}, volume = 18, year = 2023 }