粒子群算法追踪DDoS攻击源技术研究  

Study of DDoS Attack Traceback Based on Particle Swarm Optimization

作　　者：李爱华[1] 肖金凤[1] 邱朋[1] 

机构地区：[1]沈阳理工大学信息科学与工程学院,沈阳110159

出　　处：《沈阳理工大学学报》2016年第2期39-43,共5页Journal of Shenyang Ligong University

摘　　要：研究DDo S攻击源追踪技术,采用粒子群算法对概率包标记提出改进策略,设计攻击源追踪实现方案。通过在NS2仿真平台上测试,对仿真结果进行比较分析,仿真实现了基于粒子群算法对DDo S攻击源的追踪,满足攻击路径重构的快速、准确的性能要求。By researching the traceback technology of DDoS, the particle swarm optimization（PSO） is applied to improve the strategy of probabilistic packet marking,and design implementation of traceback. By testing on NS2 simulation platform,and the comparison analysis of the simulation results, it was shown that simulation successfully implemented DDoS attack traceback,and the proposed solution satisfies the performance requirements of speed and accuracy.

关 键 词：攻击源追踪 DDOS 粒子群算法 网络仿真 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]