Detection method of network attacks based on particle swarm optimization
Zhao Pa · Jisuanji gongcheng yu sheji · 2014
To effectively determine the possibility of attacks for network packets,a new detection algorithm DMPSO(detection method based on particle swarm optimization)was proposed on the basis of previous studies.At first,the state indicators were defined with the discreteness of packet characteristic,and the calculation process of standard deviation distribution was presented to judge the packet anomaly by using particle swarm optimization.Finally,a simulation with OPNET and MATLAB was conducted to study the key factors of DMPSO.Compared to the performances of other algorithms,the results show that the proposed algorithm has better adaptability.