{"id":"https://openalex.org/W3108642152","doi":"https://doi.org/10.1109/mis.2020.3041174","title":"Anomalous Event Sequence Detection","display_name":"Anomalous Event Sequence Detection","publication_year":2020,"publication_date":"2020-11-27","ids":{"openalex":"https://openalex.org/W3108642152","doi":"https://doi.org/10.1109/mis.2020.3041174","mag":"3108642152"},"language":"en","primary_location":{"id":"doi:10.1109/mis.2020.3041174","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mis.2020.3041174","pdf_url":null,"source":{"id":"https://openalex.org/S114241109","display_name":"IEEE Intelligent Systems","issn_l":"1541-1672","issn":["1541-1672","1941-1294"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089251186","display_name":"Boxiang Dong","orcid":"https://orcid.org/0000-0001-9520-1494"},"institutions":[{"id":"https://openalex.org/I166088655","display_name":"Montclair State University","ror":"https://ror.org/01nxc2t48","country_code":"US","type":"education","lineage":["https://openalex.org/I166088655"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Boxiang Dong","raw_affiliation_strings":["Montclair State University, USA"],"raw_orcid":"https://orcid.org/0000-0001-9520-1494","affiliations":[{"raw_affiliation_string":"Montclair State University, USA","institution_ids":["https://openalex.org/I166088655"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075127080","display_name":"Zhengzhang Chen","orcid":"https://orcid.org/0000-0002-6803-0535"},"institutions":[{"id":"https://openalex.org/I4210107353","display_name":"NEC (United States)","ror":"https://ror.org/01v791m31","country_code":"US","type":"company","lineage":["https://openalex.org/I118347220","https://openalex.org/I4210107353"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhengzhang Chen","raw_affiliation_strings":["NEC Labs America, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NEC Labs America, USA","institution_ids":["https://openalex.org/I4210107353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086816138","display_name":"Lu\u2010An Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210107353","display_name":"NEC (United States)","ror":"https://ror.org/01v791m31","country_code":"US","type":"company","lineage":["https://openalex.org/I118347220","https://openalex.org/I4210107353"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lu-An Tang","raw_affiliation_strings":["NEC Labs America, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NEC Labs America, USA","institution_ids":["https://openalex.org/I4210107353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100456776","display_name":"Haifeng Chen","orcid":"https://orcid.org/0000-0002-1318-6583"},"institutions":[{"id":"https://openalex.org/I4210107353","display_name":"NEC (United States)","ror":"https://ror.org/01v791m31","country_code":"US","type":"company","lineage":["https://openalex.org/I118347220","https://openalex.org/I4210107353"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haifeng Chen","raw_affiliation_strings":["NEC Labs America, USA"],"raw_orcid":"https://orcid.org/0000-0002-1318-6583","affiliations":[{"raw_affiliation_string":"NEC Labs America, USA","institution_ids":["https://openalex.org/I4210107353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100460670","display_name":"Hui Wang","orcid":"https://orcid.org/0000-0001-5837-4492"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hui Wang","raw_affiliation_strings":["Stevens Institute of Technology, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stevens Institute of Technology, USA","institution_ids":["https://openalex.org/I108468826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100702869","display_name":"Kai Zhang","orcid":"https://orcid.org/0000-0002-9692-4333"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kai Zhang","raw_affiliation_strings":["Temple University, USA"],"raw_orcid":"https://orcid.org/0000-0002-9692-4333","affiliations":[{"raw_affiliation_string":"Temple University, USA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101505037","display_name":"Ying Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ying Lin","raw_affiliation_strings":["University of Houston, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Houston, USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102024215","display_name":"Zhichun Li","orcid":"https://orcid.org/0009-0006-8481-5304"},"institutions":[{"id":"https://openalex.org/I4210119420","display_name":"Stellar Solutions (United States)","ror":"https://ror.org/03h3tdh87","country_code":"US","type":"company","lineage":["https://openalex.org/I4210119420"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhichun Li","raw_affiliation_strings":["Stellar Cyber, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stellar Cyber, USA","institution_ids":["https://openalex.org/I4210119420"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7001,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.85841406,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"36","issue":"3","first_page":"5","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8477627038955688},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.7201699614524841},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6340026259422302},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5831639170646667},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5111516118049622},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4875742793083191},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3547576069831848},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.20263957977294922}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8477627038955688},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7201699614524841},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6340026259422302},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5831639170646667},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5111516118049622},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4875742793083191},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3547576069831848},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.20263957977294922},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mis.2020.3041174","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mis.2020.3041174","pdf_url":null,"source":{"id":"https://openalex.org/S114241109","display_name":"IEEE Intelligent Systems","issn_l":"1541-1672","issn":["1541-1672","1941-1294"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Intelligent Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W103340358","https://openalex.org/W1854214752","https://openalex.org/W1968701380","https://openalex.org/W2021702566","https://openalex.org/W2052152127","https://openalex.org/W2118988523","https://openalex.org/W2120797124","https://openalex.org/W2122646361","https://openalex.org/W2153843773","https://openalex.org/W2165840237","https://openalex.org/W2576694568","https://openalex.org/W2666600683","https://openalex.org/W2896742542","https://openalex.org/W2964325548","https://openalex.org/W2965563623","https://openalex.org/W3117371830","https://openalex.org/W6639055396","https://openalex.org/W6677507105","https://openalex.org/W6678103051","https://openalex.org/W6732548153"],"related_works":["https://openalex.org/W2105642232","https://openalex.org/W2140798747","https://openalex.org/W2948169060","https://openalex.org/W3197833032","https://openalex.org/W3207332793","https://openalex.org/W2730112582","https://openalex.org/W4386081464","https://openalex.org/W2499612753","https://openalex.org/W2358580169","https://openalex.org/W2750709484"],"abstract_inverted_index":{"Anomaly":[0],"detection":[1],"has":[2,23],"been":[3,24],"widely":[4],"applied":[5],"in":[6,26,46,58,75],"modern":[7],"data-driven":[8],"security":[9],"applications":[10],"to":[11,63],"detect":[12],"abnormal":[13,44,66],"events/entities":[14,39],"that":[15,107],"deviate":[16],"from":[17,69],"the":[18],"majority.":[19],"However,":[20],"less":[21],"work":[22],"done":[25],"terms":[27],"of":[28,71],"detecting":[29],"suspicious":[30],"event":[31,67,73,96],"sequences/paths,":[32],"which":[33],"are":[34],"better":[35],"discriminators":[36],"than":[37],"single":[38],"for":[40,93],"distinguishing":[41],"normal":[42],"and":[43,55,78,103,118],"behaviors":[45],"complex":[47],"systems":[48],"such":[49],"as":[50],"cyber-physical":[51],"systems.":[52],"A":[53],"key":[54],"challenging":[56],"step":[57],"this":[59,83],"endeavor":[60],"is":[61,109],"how":[62],"discover":[64],"those":[65],"sequences":[68],"millions":[70],"system":[72],"records":[74,115],"an":[76],"efficient":[77,110],"accurate":[79],"way.":[80],"To":[81],"address":[82],"issue,":[84],"we":[85],"propose":[86],"NINA,":[87],"a":[88],"network":[89],"diffusion":[90],"based":[91],"algorithm":[92],"identifying":[94],"anomalous":[95],"sequences.":[97],"Experimental":[98],"results":[99],"on":[100],"both":[101],"static":[102],"streaming":[104],"data":[105],"show":[106],"NINA":[108],"(processes":[111],"about":[112],"2":[113],"million":[114],"per":[116],"minute)":[117],"accurate.":[119]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
