基于机器学习的入侵检测方法是大规模、高带宽网络环境下实现对网络攻击智能检测的关键技术之一。
Intrusion detection techniques based on machine learning is one of the key technologies to be applied to intelligent intrusion detection under the circumstance of large scale and bandwidth network.
本文在分析了当前网络学习环境存在的优势和不足之处后，提出了“智能交互式网络学习环境”的设计与开发问题。
After analyzing the superiority and deficiency of network learning environment of the day, this paper presents an "Intelligent Interactive Network learning Environment".
本文在分析了当前网络学习环境存在的优势和不足之处后，提出了“智能交互式网络学习环境”的设计与开发问题。
After analyzing the superiority and deficiency of network learning environment of the day, this paper presents an "Intelligent Interactive Network learning Environment".
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