Analysis of anomalous behaviour in network systems using deep reinforcement learning with convolutional neural network architecture

Analysis of anomalous behaviour in network systems using deep reinforcement learning with convolutional neural network architecture

AbstractTo gain access to networks, various intrusion attack types have been developed and enhanced. The increasing importance of computer networks in daily life is a result of our growing dependence on them. Given this, it is glaringly obvious that algorithmic tools with strong detection performanc...

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Bibliographic Details
Main Authors: Mohammad Hossein Modirrousta, Parisa Forghani Arani, Reza Kazemi, Mahdi Aliyari‐Shoorehdeli
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:CAAI Transactions on Intelligence Technology
Subjects:
deep reinforcement learning
intrusion detection
Q‐Learning
transferability
Online Access:https://doi.org/10.1049/cit2.12359
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