期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2014
卷号：60
期号：3
出版社：Journal of Theoretical and Applied
摘要：Future network traffic in WSN can be predicted by time series models. The knowledge of traffic can be used for routing, load balancing and QoS provisioning. S-ARMA model has been proposed to predict the future traffic in WSN.The abnormality in traffic is predicted and it indicates the possibility for Dos attack and it initiates frequency hopping to avoid this. Increase in the frequency hopping time is identified by S-ARMA model, alerts the network to avoid the anomaly channel. Effectiveness of this model is been proved to be efficient in detecting the anomaly channel from the simulation results since the information about the attackers in the channel can be known using swarm intelligence (ants).
关键词：S-ARMA; Network Traffic; Frequency Hopping; Swarm Intelligence
