Intrusion Detection System Using PSO and DE Algorithms with BP Neural Network
نویسندگان
چکیده
Intrusion detection system (IDS) combines software and hardware to detect network attacks. In this paper, we propose a new intrusion method based on an improved BP neural algorithm. We improve the algorithm by combining it with particle swarm optimization (PSO) differential evolution (DE) also framework common accommodate our network. The experiments CICIDS2017 dataset show approach achieves better efficiency.
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ژورنال
عنوان ژورنال: Frontiers in artificial intelligence and applications
سال: 2022
ISSN: ['1879-8314', '0922-6389']
DOI: https://doi.org/10.3233/faia220405