Mitigating Jamming Attack in 5G Heterogeneous Networks: A Federated Deep Reinforcement Learning Approach
Author:
Affiliation:
1. Computer Science and Engineering Department, Thapar Institute of Engineering and Technology, Patiala, India
2. CSED, Thapar Institute of Engineering and Technology, Patiala, Punjab, India
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/25/10043591/09914678.pdf?arnumber=9914678
Reference52 articles.
1. Multi-stage Jamming Attacks Detection using Deep Learning Combined with Kernelized Support Vector Machine in 5G Cloud Radio Access Networks
2. Securing ZigBee Communications Against Constant Jamming Attack Using Neural Network
3. Performance Evaluation for Secure Communications in Mobile Internet of Vehicles With Joint Reactive Jamming and Eavesdropping Attacks
4. Subverting Massive MIMO by Smart Jamming
5. Joint Beamforming and Power Control for Device-to-Device Communications Underlaying Cellular Networks
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