%0 Journal Article %1 journals/fgcs/ZhangZGYL22 %A Zhang, Zhao %A Zhang, Yong %A Guo, Da %A Yao, Lei %A Li, Zhao %D 2022 %J Future Gener. Comput. Syst. %K dblp %P 154-169 %T SecFedNIDS: Robust defense for poisoning attack against federated learning-based network intrusion detection system. %U http://dblp.uni-trier.de/db/journals/fgcs/fgcs134.html#ZhangZGYL22 %V 134

@article{journals/fgcs/ZhangZGYL22, added-at = {2023-10-20T00:00:00.000+0200}, author = {Zhang, Zhao and Zhang, Yong and Guo, Da and Yao, Lei and Li, Zhao}, biburl = {https://www.bibsonomy.org/bibtex/2f1210ceae4990a25a502577462e8d83a/dblp}, ee = {https://doi.org/10.1016/j.future.2022.04.010}, interhash = {8df8b5882a82c48411d32f3c1c448e40}, intrahash = {f1210ceae4990a25a502577462e8d83a}, journal = {Future Gener. Comput. Syst.}, keywords = {dblp}, pages = {154-169}, timestamp = {2024-04-09T02:17:55.000+0200}, title = {SecFedNIDS: Robust defense for poisoning attack against federated learning-based network intrusion detection system.}, url = {http://dblp.uni-trier.de/db/journals/fgcs/fgcs134.html#ZhangZGYL22}, volume = 134, year = 2022 }