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SparseIDS: Learning Packet Sampling with Reinforcement Learning [article]

Maximilian Bachl, Fares Meghdouri, Joachim Fabini, Tanja Zseby
2020 arXiv   pre-print
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