A Secure Deep Q-Reinforcement Learning Framework for Network Intrusion Detection in IoT-Fog Systems
- Title
- A Secure Deep Q-Reinforcement Learning Framework for Network Intrusion Detection in IoT-Fog Systems
- Description
- 2024 OPJU International Technology Conference on Smart Computing for Innovation and Advancement in Industry 4.0, OTCON 2024
- Creator
- Bebortta S.; Tripathy S.S.; Sharma V.; Behera J.R.; Nayak A.
- Source
- <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206915575&doi=10.1109%2fOTCON60325.2024.10687378&partnerID=40&md5=1db96514f9b1209aa2363d1f84e65399" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206915575&doi=10.1109%2fOTCON60325.2024.10687378&partnerID=40&md5=1db96514f9b1209aa2363d1f84e65399</a>
- Date
- 2024-01-01
Collection
Citation
Bebortta S.; Tripathy S.S.; Sharma V.; Behera J.R.; Nayak A., “A Secure Deep Q-Reinforcement Learning Framework for Network Intrusion Detection in IoT-Fog Systems,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 8, 2025, https://archives.christuniversity.in/items/show/9450.