A Network Intrusion Detection Model Based on BiLSTM with Multi-Head Attention Mechanism

A Network Intrusion Detection Model Based on BiLSTM with Multi-Head Attention Mechanism

A network intrusion detection tool can identify and detect potential malicious activities or attacks by monitoring network traffic and system logs. The data within intrusion detection networks possesses characteristics that include a high degree of feature dimension and an unbalanced distribution ac...

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Bibliographic Details
Main Authors: Jingqi Zhang, Xin Zhang, Zhaojun Liu, Fa Fu, Yihan Jiao, Fei Xu
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Electronics
Subjects:
intrusion detection
deep learning
multi-head attention
BiLSTM
Online Access:https://www.mdpi.com/2079-9292/12/19/4170

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https://www.mdpi.com/2079-9292/12/19/4170

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