A Security Situation Prediction Algorithm Based on HMM in Mobile Network

Abstract

The increasingly severe network security situation brings unanticipated challenges to mobile networking. Traditional HMM (Hidden Markov Model) based algorithms for predicting the network security are not accurate, and to address this issue, a weighted HMM based algorithm is proposed to predict the security situation of the mobile network. The multiscale entropy is used to address the low speed of data training in mobile network, whereas the parameters of HMM situation transition matrix are also optimized. Moreover, the autocorrelation coefficient can reasonably use the association between the characteristics of the historical data to predict future security situation. Experimental analysis on DARPA2000 shows that the proposed algorithm is highly competitive, with good performance in prediction speed and accuracy when compared to existing design.

Link Security Situation Identification Method Based on the Ad Hoc Network of Medical Units

“…The host does not distinguish normal services from abnormal services. Due to limited resources, some normal business was refused [9]. However, due to the gradual improvement of server performance, a small number of packets of attackers can no longer damage the server, so the attackers jointly send DoS attacks to the host, which is the so-called distributed denial service attack.…”

Network security situation prediction based on combining associated entropy and deep recurrent neural network

“…In order to avoid and reduce the loss of network security risk to various industries, it is necessary to do a good job in network security assessment 1 . According to the historical information in the network structure, the prediction and evaluation of network security situation is one of the research focuses of network security 2 . Through the evaluation of network security, we can improve the initiative of network defense based on the evaluation results, and provide important basis and means for the operation and decision‐making of network security, so as to minimize the harm of network security problems 3 .…”

“…1 According to the historical information in the network structure, the prediction and evaluation of network security situation is one of the research focuses of network security. 2 Through the evaluation of network security, we can improve the initiative of network defense based on the evaluation results, and provide important basis and means for the operation and decision-making of network security, so as to minimize the harm of network security problems. 3 In the early stage of network security evaluation, expert evaluation method is adopted, and the invited experts complete the scoring of the future situation of network structure based on the historical data of network structure.…”