Design and research of multi-heterogeneous network security intrusion detection system based on TensorFlow framework

Traditional intrusion detection systems (IDS) face challenges in complex and heterogeneous network environments, particularly in terms of accuracy, adaptability, and performance. This study presents an advanced IDS integrating the TensorFlow framework with heuristic optimization algorithms, includin...

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Bibliografiske detaljer

Principais autores:	Chuanfeng Lin, Bo Hong, Yuwei Xie
Format:	Artigo
Sprog:	Inglês
Udgivet:	KeAi Communications Co., Ltd. 2025-01-01
Serier:	International Journal of Intelligent Networks
Fag:	Multivariate heterogeneous network Cybersecurity Intrusion detection system TensorFlow
Online adgang:	http://www.sciencedirect.com/science/article/pii/S2666603025000181
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