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Intell. Syst. Technol."],"published-print":{"date-parts":[[2019,11,30]]},"abstract":"<jats:p>In recent years, wireless sensor networks (WSNs) have become an active area of research for monitoring physical and environmental conditions. Due to the interdependence of sensors, a functional anomaly in one sensor can cause a functional anomaly in another sensor, which can further lead to the malfunctioning of the entire sensor network. Existing research work has analysed faulty sensor anomalies but fails to show the effectiveness throughout the entire interdependent network system. In this article, a dictionary learning algorithm based on a non-negative constraint is developed, and a sparse representation anomaly node detection method for sensor networks is proposed based on the dictionary learning. Through experiment on a specific thermal power plant in China, we verify the robustness of our proposed method in detecting abnormal nodes against four state of the art approaches and proved our method is more robust. Furthermore, the experiments are conducted on the obtained abnormal nodes to prove the interdependence of multi-layer sensor networks and reveal the conditions and causes of a system crash.<\/jats:p>","DOI":"10.1145\/3331147","type":"journal-article","created":{"date-parts":[[2019,10,31]],"date-time":"2019-10-31T12:23:34Z","timestamp":1572524614000},"page":"1-18","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":11,"title":["Using Sparse Representation to Detect Anomalies in Complex WSNs"],"prefix":"10.1145","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9956-1793","authenticated-orcid":false,"given":"Xiaoming","family":"Li","sequence":"first","affiliation":[{"name":"Tianjin University, Tianjin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guangquan","family":"Xu","sequence":"additional","affiliation":[{"name":"Qingdao Huanghai University, Tianjin University, Tianjin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xi","family":"Zheng","sequence":"additional","affiliation":[{"name":"Macquarie University, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kaitai","family":"Liang","sequence":"additional","affiliation":[{"name":"University of Surrey, Guildford, U.K"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Emmanouil","family":"Panaousis","sequence":"additional","affiliation":[{"name":"University of Surrey, Guildford, U.K"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tao","family":"Li","sequence":"additional","affiliation":[{"name":"Nankai University, Tianjin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Wang","sequence":"additional","affiliation":[{"name":"Beijing Jiaotong University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chao","family":"Shen","sequence":"additional","affiliation":[{"name":"Xi'an Jiaotong University, Xi'an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2019,10,30]]},"reference":[{"key":"e_1_2_1_1_1","first-page":"15","article-title":"Anomaly Detection: A survey","volume":"41","author":"Chandala V.","year":"2009","unstructured":"V. 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Review of interdependent infrastructure systems vulnerability analysis . In Proceedings of the 2nd International Conference on Intelligent Control and Information Processing (ICICIP\u201911) . IEEE, 446--451. S. Wang, L. Hong, and X. Chen. 2011. Review of interdependent infrastructure systems vulnerability analysis. In Proceedings of the 2nd International Conference on Intelligent Control and Information Processing (ICICIP\u201911). IEEE, 446--451."},{"key":"e_1_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCC.2007.905859"},{"volume-title":"Proceedings of the 27th Biennial Symposium on Communications (QBSC\u201914)","author":"De Gante A.","key":"e_1_2_1_17_1","unstructured":"A. De Gante , M. Aslan , and A. Matrawy . 2014. Smart wireless sensor network management based on software-defined networking . In Proceedings of the 27th Biennial Symposium on Communications (QBSC\u201914) . IEEE, 71--75. A. De Gante, M. Aslan, and A. Matrawy. 2014. 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In Proceedings of the International Conference on Nonlinear Dynamics of Electronic Systems. Springer, Cham, 189--202."},{"key":"e_1_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.85.016112"},{"key":"e_1_2_1_42_1","first-page":"1","article-title":"Local community detection for multi-layer mobile network based on the trust relation","volume":"1","author":"Li X. M.","year":"2019","unstructured":"X. M. Li , Q. Tian , and M. Tang . 2019 . Local community detection for multi-layer mobile network based on the trust relation . Wireless Netw. 1 , 1 (2019), 1 -- 13 . X. M. Li, Q. Tian, and M. Tang. 2019. Local community detection for multi-layer mobile network based on the trust relation. Wireless Netw. 1, 1 (2019), 1--13.","journal-title":"Wireless Netw."},{"key":"e_1_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1038\/nphys2180"},{"key":"e_1_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2011.12.030"},{"key":"e_1_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.69.045104"},{"key":"e_1_2_1_46_1","doi-asserted-by":"crossref","unstructured":"R. Kinney P. Crucitti and R. Albert. 2005. Modeling cascading failures in the north american power grid. Eur. Phys. J. B\u2014Cond. Matter Complex Syst. 46 1 (2005) 101--107.  R. Kinney P. Crucitti and R. Albert. 2005. Modeling cascading failures in the north american power grid. Eur. Phys. J. B\u2014Cond. Matter Complex Syst. 46 1 (2005) 101--107.","DOI":"10.1140\/epjb\/e2005-00237-9"},{"key":"e_1_2_1_47_1","doi-asserted-by":"crossref","unstructured":"M. H. Amini K. G. Boroojeni S. S. Iyengar P. M. Pardalos F. Blaabjerg and A. M. Madni. 2018. Sustainable interdependent networks II. (2018).  M. H. Amini K. G. Boroojeni S. S. Iyengar P. M. Pardalos F. Blaabjerg and A. M. Madni. 2018. Sustainable interdependent networks II. (2018).","DOI":"10.1007\/978-3-319-74412-4"},{"key":"e_1_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1523412113"},{"key":"e_1_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1038\/nphys3374"},{"key":"e_1_2_1_50_1","first-page":"131","article-title":"Regularized least-squares classification. NATO Sci","volume":"190","author":"Rifkin R.","year":"2003","unstructured":"R. Rifkin , G. Yeo , and T. Poggio . 2003 . Regularized least-squares classification. NATO Sci . Ser. Sub Ser. III Comput. Syst. Sci. 190 (2003), 131 -- 154 . R. Rifkin, G. Yeo, and T. Poggio. 2003. Regularized least-squares classification. NATO Sci. Ser. Sub Ser. III Comput. Syst. Sci. 190 (2003), 131--154.","journal-title":"Ser. Sub Ser. III Comput. Syst. 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Non-negative matrix factorization on manifold . In Proceedings of the 8th IEEE International Conference on Data Mining (ICDM\u201908) . IEEE, 63--72. D. Cai, X. He, X. Wu. et al. 2008. Non-negative matrix factorization on manifold. In Proceedings of the 8th IEEE International Conference on Data Mining (ICDM\u201908). IEEE, 63--72."},{"key":"e_1_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.1006\/jabr.1993.1080"},{"key":"e_1_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1209\/0295-5075\/92\/68002"},{"key":"e_1_2_1_58_1","unstructured":"W. Cho K. I. Goh and I. M. Kim. 2010. Correlated couplings and robustness of coupled networks. Arxiv preprint Arxiv:1010.4971.  W. Cho K. I. Goh and I. M. Kim. 2010. Correlated couplings and robustness of coupled networks. 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