The Method of Detection Network Attacks Based on Particle Swarm Optimization
Zhao Pa · Chongqing Shifan Daxue xuebao. Ziran kexue ban · 2015
In order to effectively determine the possibility of attacks for network packets,a new detection algorithm DMPS is proposed by previous studies.At first,the state indicators is defined with the discreteness of packet characteristic in this algorithm,and the calculation process of standard deviation distribution is presented to judge the anomaly of packet by Particle Swarm Optimization.Finally,a simulation with OPNET and Matlab was conducted to study the key factors of DMPS.Compared to the performance of other algorithm,the results shows that it has better adaptability.