%0 Conference Paper %1 conf/ciss/RezvyLPLZ19 %A Rezvy, Shahadate %A Luo, Yuan %A Petridis, Miltos %A Lasebae, Aboubaker %A Zebin, Tahmina %B CISS %D 2019 %I IEEE %K dblp %P 1-6 %T An efficient deep learning model for intrusion classification and prediction in 5G and IoT networks. %U http://dblp.uni-trier.de/db/conf/ciss/ciss2019.html#RezvyLPLZ19 %@ 978-1-7281-1151-3

@inproceedings{conf/ciss/RezvyLPLZ19, added-at = {2022-04-09T00:00:00.000+0200}, author = {Rezvy, Shahadate and Luo, Yuan and Petridis, Miltos and Lasebae, Aboubaker and Zebin, Tahmina}, biburl = {https://www.bibsonomy.org/bibtex/2e12202fd3767b57be3d96823c42bb039/dblp}, booktitle = {CISS}, crossref = {conf/ciss/2019}, ee = {https://doi.org/10.1109/CISS.2019.8693059}, interhash = {2439b9fbe04ce05d8ca659fa882bc0a7}, intrahash = {e12202fd3767b57be3d96823c42bb039}, isbn = {978-1-7281-1151-3}, keywords = {dblp}, pages = {1-6}, publisher = {IEEE}, timestamp = {2024-04-10T06:44:09.000+0200}, title = {An efficient deep learning model for intrusion classification and prediction in 5G and IoT networks.}, url = {http://dblp.uni-trier.de/db/conf/ciss/ciss2019.html#RezvyLPLZ19}, year = 2019 }