%0 Journal Article %1 journals/monet/TangTSZY21 %A Tang, Dan %A Tang, Liu %A Shi, Wei %A Zhan, Sijia %A Yang, Qiuwei %D 2021 %J Mob. Networks Appl. %K dblp %N 4 %P 1705-1722 %T MF-CNN: a New Approach for LDoS Attack Detection Based on Multi-feature Fusion and CNN. %U http://dblp.uni-trier.de/db/journals/monet/monet26.html#TangTSZY21 %V 26

@article{journals/monet/TangTSZY21, added-at = {2021-12-15T00:00:00.000+0100}, author = {Tang, Dan and Tang, Liu and Shi, Wei and Zhan, Sijia and Yang, Qiuwei}, biburl = {https://www.bibsonomy.org/bibtex/250fa2e300d6bdb3027c4a1e898489e30/dblp}, ee = {https://doi.org/10.1007/s11036-019-01506-1}, interhash = {8ab2331937e86b78c4771d0019d93fe5}, intrahash = {50fa2e300d6bdb3027c4a1e898489e30}, journal = {Mob. Networks Appl.}, keywords = {dblp}, number = 4, pages = {1705-1722}, timestamp = {2024-04-09T01:00:57.000+0200}, title = {MF-CNN: a New Approach for LDoS Attack Detection Based on Multi-feature Fusion and CNN.}, url = {http://dblp.uni-trier.de/db/journals/monet/monet26.html#TangTSZY21}, volume = 26, year = 2021 }