%0 Journal Article %1 journals/access/MaDC19 %A Ma, Chencheng %A Du, Xuehui %A Cao, Lifeng %D 2019 %J IEEE Access %K dblp %P 148363-148380 %T Analysis of Multi-Types of Flow Features Based on Hybrid Neural Network for Improving Network Anomaly Detection. %U http://dblp.uni-trier.de/db/journals/access/access7.html#MaDC19 %V 7

@article{journals/access/MaDC19, added-at = {2019-11-07T00:00:00.000+0100}, author = {Ma, Chencheng and Du, Xuehui and Cao, Lifeng}, biburl = {https://www.bibsonomy.org/bibtex/24048dc2eb63c6133901a7dd1b216a590/dblp}, ee = {https://doi.org/10.1109/ACCESS.2019.2946708}, interhash = {55a854d48d59fd99ed0a31001ae3ae38}, intrahash = {4048dc2eb63c6133901a7dd1b216a590}, journal = {IEEE Access}, keywords = {dblp}, pages = {148363-148380}, timestamp = {2019-11-08T11:39:46.000+0100}, title = {Analysis of Multi-Types of Flow Features Based on Hybrid Neural Network for Improving Network Anomaly Detection.}, url = {http://dblp.uni-trier.de/db/journals/access/access7.html#MaDC19}, volume = 7, year = 2019 }