%0 Journal Article
%A CHEN Hong-long
%A GUO Hong-bin
%A LI Jian-lan
%A MA Meng-fei
%A SHI Le-yi
%T Research on Adaptive Strategy of End Hopping System Based on Deep Belief Nets
%D 2019
%R 10.13190/j.jbupt.2018-268
%J Journal of Beijing University of Posts and Telecommunications
%P 64-71
%V 42
%N 3
%X For problem of single hopping strategy in active cyber defense of end hopping, the multiple and heterogeneous hopping patterns are introduced into the end hopping system, the definition of end information is expanded, and the self-adaptive adjustment scheme of the end hopping is given. Further, an adaptive model of end hopping based on deep belief network is proposed, and the process of data collection, feature extraction and state prediction are formalized. The state feature index of end hopping network is defined and the characteristic data set is established. The Markov chain is used to predict the state of network in the next cycle. The heterogeneous hopping mode is selected according to the prediction results. Thus, the adaptive change of the end hopping mode is realized. Experiments show that the network state recognition and prediction of the model all have high accuracy, and the heterogeneous hopping strategy can effectively resist different types of attacks, which illustrates the validity and security of the end hopping adaptive model.
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2018-268