Recurrent Neural Network-based Anti-jamming Framework for Defense Against Multiple Jamming Policies

no code implementations • 19 Aug 2022 • Ali Pourranjbar, Georges Kaddoum, Walid Saad

Moreover, when 70 % of the spectrum is under jamming attacks from multiple jammers, the proposed method achieves an STR and ER greater than 75 % and 80 %, respectively.

Q-Learning

Jamming Pattern Recognition over Multi-Channel Networks: A Deep Learning Approach

no code implementations • 19 Dec 2021 • Ali Pourranjbar, Georges Kaddoum, Walid Saad

To evaluate the performance of the proposed recognition method, the accuracy of the detection is derived as a function of the jammer policy switching time.

Reinforcement Learning for Deceiving Reactive Jammers in Wireless Networks

no code implementations • 25 Mar 2021 • Ali Pourranjbar, Georges Kaddoum, Aidin Ferdowsi, Walid Saad

Different from existing works, in this paper, a novel anti-jamming strategy is proposed based on the idea of deceiving the jammer into attacking a victim channel while maintaining the communications of legitimate users in safe channels.

reinforcement-learning Reinforcement Learning (RL)