Packet-Level and Flow-Level Network Intrusion Detection Based on Reinforcement Learning and Adversarial Training

Powered by advances in information and internet technologies, network-based applications have developed rapidly, and cybersecurity has grown more critical. Inspired by Reinforcement Learning (RL) success in many domains, this paper proposes an Intrusion Detection System (IDS) to improve cybersecurit...

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Hlavní autoři:	Bin Yang, Muhammad Haseeb Arshad, Qing Zhao
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2022-11-01
Edice:	Algorithms
Témata:	reinforcement learning intrusion detection convolutional neural network generative adversarial network
On-line přístup:	https://www.mdpi.com/1999-4893/15/12/453
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