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Recurrent Neural Network-based Anti-jamming Framework for Defense Against Multiple Jamming Policies. (arXiv:2208.09518v1 [cs.LG])
cs.LG updates on arXiv.org arxiv.org
Conventional anti-jamming methods mainly focus on preventing single jammer
attacks with an invariant jamming policy or jamming attacks from multiple
jammers with similar jamming policies. These anti-jamming methods are
ineffective against a single jammer following several different jamming
policies or multiple jammers with distinct policies. Therefore, this paper
proposes an anti-jamming method that can adapt its policy to the current
jamming attack. Moreover, for the multiple jammers scenario, an anti-jamming
method that estimates the future occupied channels using the jammers' …
arxiv defense framework lg network neural network recurrent neural network