A dueling DQN trained as a label-reward classifier on CIC-IDS2018 reports 99.68% average accuracy, but without a held-out test set the accuracy is an in-sample score.
Anomaly detec- tion: A survey.ACM Computing Surveys (CSUR), 41(3):1–58, 2009
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Dueling Deep Q-Learning for Intrusion Detection
A dueling DQN trained as a label-reward classifier on CIC-IDS2018 reports 99.68% average accuracy, but without a held-out test set the accuracy is an in-sample score.