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In this paper, based on the improved Autoregressive Integrated Moving Average (ARIMA) model, we propose a traffic anomaly detection algorithm for wireless sensor networks (WSNs) which considers the particular imbalanced, nonstationary properties of the WSN traffic and the limited energy and computing capacity of the wireless sensors at the same time. We systematically analyze the characteristics of WSN traffic, the causes of WSN abnormal traffic, and the latest related research and development. Specifically, we improve the traditional time series ARIMA model to make traffic prediction and judge the traffic anomaly in a WSN. Simulated and real WSN traffic data gathered from University of North Carolina are used to carry out simulations on Matlab. Simulation results and comparative analyses demonstrate that our proposed WSN traffic anomaly detection scheme has better anomaly detection accuracy than traditional traffic anomaly detection algorithms. <\/jats:p>","DOI":"10.1155\/2016\/9653230","type":"journal-article","created":{"date-parts":[[2016,1,18]],"date-time":"2016-01-18T21:04:06Z","timestamp":1453151046000},"page":"9653230","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":96,"title":["An Improved ARIMA-Based Traffic Anomaly Detection Algorithm for Wireless Sensor Networks"],"prefix":"10.1177","volume":"12","author":[{"given":"Qin","family":"Yu","sequence":"first","affiliation":[{"name":"The School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lyu","family":"Jibin","sequence":"additional","affiliation":[{"name":"The Department of Computer Science, University of Southern California (USC), Los Angeles, CA 90089, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lirui","family":"Jiang","sequence":"additional","affiliation":[{"name":"The School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2016,1,18]]},"reference":[{"key":"B1-2016-9653230","first-page":"1","volume-title":"Proceedings of the 2nd International Conference on Embedded Networked Sensor Systems (SenSys \u201804)","author":"Simon G."},{"key":"B2-2016-9653230","doi-asserted-by":"publisher","DOI":"10.1109\/commantel.2013.6482386"},{"key":"B3-2016-9653230","doi-asserted-by":"publisher","DOI":"10.1155\/2012\/725190"},{"key":"B4-2016-9653230","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-010-9449-4"},{"key":"B5-2016-9653230","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2004.06.007"},{"key":"B6-2016-9653230","doi-asserted-by":"publisher","DOI":"10.1016\/s1389-1286(01)00302-4"},{"key":"B7-2016-9653230","doi-asserted-by":"publisher","DOI":"10.1016\/j.mejo.2008.08.012"},{"key":"B8-2016-9653230","doi-asserted-by":"publisher","DOI":"10.1007\/s00034-010-9187-3"},{"key":"B9-2016-9653230","doi-asserted-by":"publisher","DOI":"10.1109\/mnet.2011.5772056"},{"key":"B10-2016-9653230","doi-asserted-by":"publisher","DOI":"10.1360\/jos162117"},{"key":"B11-2016-9653230","first-page":"87","volume":"1","author":"Zhiyuan L.","year":"2014","journal-title":"Journal of Nanjing Normal University"},{"key":"B12-2016-9653230","doi-asserted-by":"publisher","DOI":"10.1109\/cdc.2008.4738773"},{"key":"B13-2016-9653230","first-page":"1217","volume-title":"Proceedings of the IEEE International Conference on Information and Automation","author":"Tian J."},{"key":"B14-2016-9653230","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2011.02.021"},{"key":"B15-2016-9653230","doi-asserted-by":"publisher","DOI":"10.1016\/j.camwa.2011.08.020"},{"key":"B16-2016-9653230","volume-title":"Research on Key Technologies of Intrusion Detection for Wireless Sensor Network","author":"Rongrong F.","year":"2013"}],"container-title":["International Journal of Distributed Sensor Networks"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/journals.sagepub.com\/doi\/pdf\/10.1155\/2016\/9653230","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/journals.sagepub.com\/doi\/full-xml\/10.1155\/2016\/9653230","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/journals.sagepub.com\/doi\/pdf\/10.1155\/2016\/9653230","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,5]],"date-time":"2021-05-05T16:47:51Z","timestamp":1620233271000},"score":1,"resource":{"primary":{"URL":"http:\/\/journals.sagepub.com\/doi\/10.1155\/2016\/9653230"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,1,1]]},"references-count":16,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2016,1,1]]}},"alternative-id":["10.1155\/2016\/9653230"],"URL":"https:\/\/doi.org\/10.1155\/2016\/9653230","relation":{},"ISSN":["1550-1477","1550-1477"],"issn-type":[{"value":"1550-1477","type":"print"},{"value":"1550-1477","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,1,1]]}}}