入侵检测系统
计算机科学
人工神经网络
基于异常的入侵检测系统
人工智能
网络安全
过程(计算)
机器学习
误用检测
数据挖掘
计算机安全
操作系统
标识
DOI:10.1109/icedcs57360.2022.00031
摘要
Network intrusion detection technology has been a popular application technology for current network security, but the existing network intrusion detection technology in the application process, there are problems such as low detection efficiency, low detection accuracy and other poor detection performance. To solve the above problems, a new treatment combining artificial intelligence with network intrusion detection is proposed. Artificial intelligence-based network intrusion detection technology refers to the application of artificial intelligence techniques, such as: neural networks, neural algorithms, etc., to network intrusion detection, and the application of these artificial intelligence techniques makes the automatic detection of network intrusion detection models possible.
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