A botnet detection method based on FARIMA and hill-climbing algorithm
Huang Kun, Jun Yong Wu · International Journal of Modern Physics B · 2018
In order to solve the problem of detection efficiency and the detection speed in botnet detection, a novel botnet detection method is proposed based on hill-climbing algorithm and FARIMA. At first, the evaluation indexes are presented in this method, and botnet and infection hosts are quickly searched with hill-climbing algorithm. Then, FARIMA model is introduced to cut down the long-correlation of detection index. Finally, a simulation was conducted to research on the key factors with MATLAB. The result shows that, compared to other algorithms, it has good adaptability, and it could effectively search for infected hosts and botnets.