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- W2362936871 abstract "To improve the comprehensiveness,accuracy and detection efficiency of leak detection system,simulation modeling and detection of algorithm analysis are carried out as to sensor node data traffic and denial of service attacks is timely detected.Moreover,the detection scheme of DoS(denial of service) attack is designed and,by the use of ARMA(2,1) prediction model of traffic flow,the detection scheme of denial of service attack TPDD(traffic prediction based DoS attack detection) based on the prediction of traffic flow is put forward.In the detection scheme,each node accomplishes anomaly detection and prediction of traffic flow independently,so that invasions are found accurately and the false dectection rate is decreased greatly,and a low level of cost of transmission and energy also follows.In a word,scheme TPDD is not only simple and efficient and able to detecet DoS attacks timely,but also it can make reasonable adjustments to the path of network traffic and restrict energy consumption to a relatively low level,and in the end the feasibility of scheme is exemplified." @default.
- W2362936871 created "2016-06-24" @default.
- W2362936871 creator A5072299941 @default.
- W2362936871 date "2009-01-01" @default.
- W2362936871 modified "2023-09-23" @default.
- W2362936871 title "DoS attack detection scheme research for sensor networks based on pipeline leak monitoring system" @default.
- W2362936871 hasPublicationYear "2009" @default.
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