A Deep Reinforcement Learning Based Intrusion Detection System (DRL-IDS) for Securing Wireless Sensor Networks and Internet of Things

Hafsa Benaddi, Khalil Ibrahimi, Abderrahim Benslimane, Junaid Qadir 0001. A Deep Reinforcement Learning Based Intrusion Detection System (DRL-IDS) for Securing Wireless Sensor Networks and Internet of Things. In Der-Jiunn Deng, Ai-Chun Pang, Chun-Cheng Lin, editors, Wireless Internet - 12th EAI International Conference, WiCON 2019, TaiChung, Taiwan, November 26-27, 2019, Proceedings. Volume 317 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, pages 73-87, Springer, 2019. [doi]

@inproceedings{BenaddiIB019,
  title = {A Deep Reinforcement Learning Based Intrusion Detection System (DRL-IDS) for Securing Wireless Sensor Networks and Internet of Things},
  author = {Hafsa Benaddi and Khalil Ibrahimi and Abderrahim Benslimane and Junaid Qadir 0001},
  year = {2019},
  doi = {10.1007/978-3-030-52988-8_7},
  url = {https://doi.org/10.1007/978-3-030-52988-8_7},
  researchr = {https://researchr.org/publication/BenaddiIB019},
  cites = {0},
  citedby = {0},
  pages = {73-87},
  booktitle = {Wireless Internet - 12th EAI International Conference, WiCON 2019, TaiChung, Taiwan, November 26-27, 2019, Proceedings},
  editor = {Der-Jiunn Deng and Ai-Chun Pang and Chun-Cheng Lin},
  volume = {317},
  series = {Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering},
  publisher = {Springer},
  isbn = {978-3-030-52988-8},
}