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Comparing to various other sampling techniques, SparseIDS consistently achieves higher classification accuracy by learning to sample only relevant packets. ... We show that by using a novel Reinforcement Learning (RL)-based approach called SparseIDS, we can reduce the number of consumed packets by more than three fourths while keeping classification accuracy ... The accuracy-sparsity tradeoff of SparseIDS can be regulated by a reinforcement learning parameter that directly affects both quantities. ...arXiv:2002.03872v3 fatcat:ukjuqqjafje7hdugupiqbofrey