基于模糊系统的网络入侵检测软件设计与实现

Design and Implementation of Network Intrusion Detection Software Based on Fuzzy Systems

随着互联网技术的迅速发展,网络安全问题日益严重,网络入侵检测成为网络安全领域的重要研究方向。网络入侵检测系统(NIDS)是一种有效的防止和检测恶意网络行为的工具,其主要目标是通过监视网络流量,检测并记录可能的攻击。然而,传统的基于规则或者基于统计的网络入侵检测方法在处理模糊、不确定和不完全的信息时存在很大的不足。因此,如何提高网络入侵检测的准确性和可靠性,减少误报和漏报,一直是网络安全领域的重要研究课题。

With the rapid development of internet technology, network security issues are becoming increasingly serious, and network intrusion detection has become an important research direction in the field of network security. Network Intrusion Detection System (NIDS) is an effective tool for preventing and detecting malicious network behavior. Its main goal is to monitor network traffic, detect and record potential attacks. However, traditional rule-based or statistic-based network intrusion detection methods have significant shortcomings when dealing with fuzzy, uncertain, and incomplete information. Therefore, how to improve the accuracy and reliability of network intrusion detection, reduce false positives and omissions, has always been an important research topic in the field of network security.