Attack characteristic detection for large scale network based on collaborative planning
Bingzhan Liu, Lianqin Jia · Advances in engineering research/Advances in Engineering Research · 2015
In the process of research on the characteristic detection method for large scale network attacks, due to the use of the current algorithm for large-scale network attack detection, it is unable to describe the attack characteristics of network attacks or detect in low accuracy.Therefore, an attack detection method for large scale network based on cooperative planning is proposed.The method is based on collaborative planning to design the detection characteristic of large scale network attacks, which is transformed into a space search problem.The difference between the parameters of the flow vector and the normal vector of the normal network spatial data is extracted as characteristics, combining Gauss mixture model with the expectation maximization algorithm, to design Lorenz chaotic asynchronous tracking detection algorithm for modeling and detection of network data stream.The experimental simulation shows that the detection method of large scale network attack detection method has high accuracy and high efficiency.