%0 Conference Paper %1 conf/ccnc/HunterHK22 %A Hunter, Jonathan %A Huber, Brennan %A Kandah, Farah I. %B CCNC %D 2022 %I IEEE %K dblp %P 947-948 %T Towards feasibility of Deep-Learning based Intrusion Detection System for IoT Embedded Devices. %U http://dblp.uni-trier.de/db/conf/ccnc/ccnc2022.html#HunterHK22 %@ 978-1-6654-3161-3

@inproceedings{conf/ccnc/HunterHK22, added-at = {2023-03-21T00:00:00.000+0100}, author = {Hunter, Jonathan and Huber, Brennan and Kandah, Farah I.}, biburl = {https://www.bibsonomy.org/bibtex/29b82f942c0a16b1c0e8a3166991aa7bc/dblp}, booktitle = {CCNC}, crossref = {conf/ccnc/2022}, ee = {https://doi.org/10.1109/CCNC49033.2022.9700706}, interhash = {6abd75554833330e4ca9ddab61886e99}, intrahash = {9b82f942c0a16b1c0e8a3166991aa7bc}, isbn = {978-1-6654-3161-3}, keywords = {dblp}, pages = {947-948}, publisher = {IEEE}, timestamp = {2024-04-09T19:48:14.000+0200}, title = {Towards feasibility of Deep-Learning based Intrusion Detection System for IoT Embedded Devices.}, url = {http://dblp.uni-trier.de/db/conf/ccnc/ccnc2022.html#HunterHK22}, year = 2022 }