BBO-CFAT: Network Intrusion Detection Model Based on BBO Algorithm and Hierarchical Transformer
Tingyao Jiang,
Xiaobo Fu,
Min Wang
Abstract:In today's network environments vulnerable to cyber threats like hackers and viruses, intrusion detection technology is considered the most effective means of detection and defense. Deep neural networks are commonly used in intrusion detection technology. However, improving the model's ability to extract feature information and reducing computational space while retaining local feature information are critical challenges that need to be addressed.To tackle these issues, this paper proposes a model named BBO-CF… Show more
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