Deep Reinforcement Learning based reliable spectrum sensing under SSDF attacks in Cognitive Radio networks
Authors:
- Anal PaulAPAnal Paul
- Aneesh Kumar MishraAMAneesh Kumar Mishra
- Shivam ShreevastavaSSShivam Shreevastava
- Anoop Kumar TiwariATAnoop Kumar Tiwari
- 21 June 2022
- journal article
- research article
- Published by Elsevier in Journal of Network and Computer Applications
- Vol. 205
Abstract
No abstract availableKeywords
This publication has 32 references indexed in Scilit:
- Cooperative Spectrum Sensing With M-Ary Quantized Data in Cognitive Radio Networks Under SSDF AttacksIEEE Transactions on Wireless Communications, 2017
- Kernel fuzzy c-means clustering on energy detection based cooperative spectrum sensingDigital Communications and Networks, 2016
- Supporting secure spectrum sensing data transmission against SSDH attack in cognitive radio ad hoc networksJournal of Network and Computer Applications, 2016
- Securing Collaborative Spectrum Sensing Against Malicious Attackers in Cognitive Radio NetworksWireless Personal Communications, 2016
- Joint Spectrum Sensing and Resource Allocation Scheme in Cognitive Radio Networks with Spectrum Sensing Data Falsification AttackIEEE Transactions on Vehicular Technology, 2016
- Application of reinforcement learning for security enhancement in cognitive radio networksApplied Soft Computing, 2015
- Defense Against SSDF Attack in Cognitive Radio Networks: Attack-Aware Collaborative Spectrum Sensing ApproachIEEE Communications Letters, 2015
- Advances on Security Threats and Countermeasures for Cognitive Radio Networks: A SurveyIEEE Communications Surveys & Tutorials, 2014
- Energy Efficient Collaborative Spectrum Sensing Based on Trust Management in Cognitive Radio NetworksIEEE Transactions on Wireless Communications, 2014
- Security in cognitive wireless sensor networks. Challenges and open problemsEURASIP Journal on Wireless Communications and Networking, 2012