{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T16:12:41Z","timestamp":1782317561563,"version":"3.54.5"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2020,9,1]],"date-time":"2020-09-01T00:00:00Z","timestamp":1598918400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,9,1]],"date-time":"2020-09-01T00:00:00Z","timestamp":1598918400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,9,1]],"date-time":"2020-09-01T00:00:00Z","timestamp":1598918400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["1600058"],"award-info":[{"award-number":["1600058"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Systems Journal"],"published-print":{"date-parts":[[2020,9]]},"DOI":"10.1109\/jsyst.2019.2963546","type":"journal-article","created":{"date-parts":[[2020,1,20]],"date-time":"2020-01-20T20:36:40Z","timestamp":1579552600000},"page":"3558-3569","source":"Crossref","is-referenced-by-count":34,"title":["A PMU-Based Data-Driven Approach for Classifying Power System Events Considering Cyberattacks"],"prefix":"10.1109","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4962-4776","authenticated-orcid":false,"given":"Rui","family":"Ma","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sagnik","family":"Basumallik","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4313-6840","authenticated-orcid":false,"given":"Sara","family":"Eftekharnejad","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","article-title":"TSAT transient security assessment tool","year":"2007"},{"key":"ref38","article-title":"PRC-002-2-Disturbance Monitoring and Reporting Requirements","year":"0"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2011.174"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.72"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s10844-012-0196-5"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/PL00011669"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.epsr.2017.04.023"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TDC.2018.8440462"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2009.02.002"},{"key":"ref34","author":"han","year":"2011","journal-title":"Data Mining Concepts and Techniques"},{"key":"ref10","first-page":"1","article-title":"Fast sequence component analysis for attack detection in smart grid","author":"landford","year":"2016","journal-title":"2016 IEEE International Smart Cities Conference (ISC2)"},{"key":"ref40","author":"hastie","year":"2009","journal-title":"The Elements of Statistical Learning Data Mining Inference and Prediction"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2769099"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/PSCE.2006.296352"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/PEMWA.2012.6316400"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2006.881153"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/PES.2008.4596721"},{"key":"ref16","first-page":"1","article-title":"Use multi-dimensional ellipsoid to monitor dynamic behavior of power systems based on PMU measurement","author":"ma","year":"0","journal-title":"Proc IEEE Power Energy Soc Gen Meet &#x2014;Convers Del Elect Energy 21st Century"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRD.2013.2285097"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2017.2731366"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/PSCC.2016.7540867"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/1014052.1014077"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2013.2240706"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2005.79"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2018.11.013"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/GLOCOM.2012.6503599"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/s40565-016-0217-4"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/PESGM.2014.6939474"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/NAPS.2017.8107314"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/SmartGridComm.2011.6102326"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2011.2165269"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3148055.3148082"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRD.2016.2590961"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-010-0179-5"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s00778-008-0111-4"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.21236\/ADA603196"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/1883612.1883613"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-007-0064-z"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2014.2316476"},{"key":"ref23","article-title":"Data mining and machine learning in time series databases","author":"keogh","year":"0","journal-title":"Proc Tut SIGKDD"},{"key":"ref26","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1109\/SSDM.2000.869778","article-title":"TSA-tree: A wavelet-based approach to improve the efficiency of multi-level surprise and trend queries on time-series data","author":"shahabi","year":"0","journal-title":"Proc Int Conf Sci Statist Database Manage"},{"key":"ref43","article-title":"Pattern recognition and machine learning","volume":"16","author":"bishop","year":"2007","journal-title":"J Electron Imag"},{"key":"ref25","first-page":"82","article-title":"Novelty detection in time series data using ideas from immunology","author":"dasgupta","year":"0","journal-title":"Proc Int Conf Intell Eng Syst"}],"container-title":["IEEE Systems Journal"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4267003\/9185112\/08963935.pdf?arnumber=8963935","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T17:03:15Z","timestamp":1651078995000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8963935\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9]]},"references-count":43,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/jsyst.2019.2963546","relation":{},"ISSN":["1932-8184","1937-9234","2373-7816"],"issn-type":[{"value":"1932-8184","type":"print"},{"value":"1937-9234","type":"electronic"},{"value":"2373-7816","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,9]]}}}