一种改进蚁群算法在网络入侵检测中的应用  

The Application of an Improved Ant Colony Algorithm in Network Intrusion Detection

作　　者：王宇[1] Wang Yu(Department of Information Engineering,Chengyi College,Jimei University,Xiamen 361000,China)

机构地区：[1]集美大学诚毅学院信息工程系,福建厦门361000

出　　处：《黑河学院学报》2024年第12期185-188,共4页Journal of Heihe University

基　　金：福建省中青年教师教育科研项目(科技类)“人工智能下基于MDNet目标跟踪算法研究”(JAT220529)。

摘　　要：随着网络技术的飞速发展,网络安全问题日益凸显,网络入侵检测作为保障网络安全的重要手段之一,备受关注。蚁群算法是一种模拟蚂蚁觅食行为的优化算法,具有自组织、并行性和鲁棒性等特点,在网络安全领域具有广泛的应用前景。设计一种改进蚁群算法,并将其应用于网络入侵检测中,旨在提高检测效率和准确性。通过实验验证,该算法在网络入侵检测中取得了良好的效果。With the rapid development of network technology,cyber-security issues have become increasingly prominent.Network intrusion detection,as an important means to ensure cyber-security,has attracted much attention.Ant colony algorithm is an optimization algorithm that simulates the foraging behavior of ants.It has the characteristics of self-organization,parallelism,and robustness,and thus has broad application prospects in thefield of network security.To improve detection efficiency and accuracy,an improved ant colony algorithm is introduced in this study and applied to network intrusion detection.Through experimental verification,the algorithm has achieved good results in network intrusion detection.

关 键 词：蚁群算法 网络入侵检测 搜索机制 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]