DoS Attack Detection Scheme for Sensor Networks Based on Traffic Prediction

In wireless sensor networks,how to accurately and rapidly detect denial of service(DoS) attacks,so as to ensure the availability of network infrastructure,is one of the most challenging security problems.This paper proposes a simple and efficient ARMA(2,1) traffic prediction model for sensor nodes based on linear prediction technique.Then a lightweight DoS attacks detection scheme,TPDD(Traffic Prediction based DoS attack Detection),is designed for wireless sensor networks.In TPDD,each node acts independently when predicting the traffic and detecting anomaly.Neither special hardware nor node′s cooperation is needed.Furthermore,a mechanism evaluating reliability of alert is developed to reduce the false alerts caused by prediction or channel error.Simulation results show that ARMA(2,1) model can predict sensor network traffic precisely and swiftly; TPDD is an efficient DoS attacks detection scheme which can quickly detect DoS attacks with less resource overhead.