{"id":"https://openalex.org/W2986276296","doi":"https://doi.org/10.1109/tsp.2020.2971438","title":"Searching for Anomalies Over Composite Hypotheses","display_name":"Searching for Anomalies Over Composite Hypotheses","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W2986276296","doi":"https://doi.org/10.1109/tsp.2020.2971438","mag":"2986276296"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2020.2971438","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2020.2971438","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Transactions on Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1911.05381","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025385065","display_name":"Bar Hemo","orcid":null},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Bar Hemo","raw_affiliation_strings":["School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel","institution_ids":["https://openalex.org/I124227911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077036467","display_name":"Tomer Gafni","orcid":"https://orcid.org/0000-0002-5906-1428"},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Tomer Gafni","raw_affiliation_strings":["School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel","institution_ids":["https://openalex.org/I124227911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066085947","display_name":"Kobi Cohen","orcid":"https://orcid.org/0000-0003-0532-009X"},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Kobi Cohen","raw_affiliation_strings":["School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel"],"raw_orcid":"https://orcid.org/0000-0003-0532-009X","affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel","institution_ids":["https://openalex.org/I124227911"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013788255","display_name":"Qing Zhao","orcid":"https://orcid.org/0000-0002-9590-4285"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qing Zhao","raw_affiliation_strings":["School of Electrical and Computer Engineering, Cornell University, Ithaca, USA"],"raw_orcid":"https://orcid.org/0000-0002-9590-4285","affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Cornell University, Ithaca, USA","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6108,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.91433701,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"68","issue":null,"first_page":"1181","last_page":"1196"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9987999796867371,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5960130095481873},{"id":"https://openalex.org/keywords/null","display_name":"Null (SQL)","score":0.565756618976593},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5575307607650757},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.5007128715515137},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.49561822414398193},{"id":"https://openalex.org/keywords/asymptotically-optimal-algorithm","display_name":"Asymptotically optimal algorithm","score":0.49378928542137146},{"id":"https://openalex.org/keywords/sequential-analysis","display_name":"Sequential analysis","score":0.4797552824020386},{"id":"https://openalex.org/keywords/null-hypothesis","display_name":"Null hypothesis","score":0.45946502685546875},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.43383458256721497},{"id":"https://openalex.org/keywords/sequential-probability-ratio-test","display_name":"Sequential probability ratio test","score":0.4180172085762024},{"id":"https://openalex.org/keywords/zero","display_name":"Zero (linguistics)","score":0.41504979133605957},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.37560826539993286},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.348655104637146},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2295255959033966},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.14100047945976257}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5960130095481873},{"id":"https://openalex.org/C203763787","wikidata":"https://www.wikidata.org/wiki/Q371029","display_name":"Null (SQL)","level":2,"score":0.565756618976593},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5575307607650757},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.5007128715515137},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.49561822414398193},{"id":"https://openalex.org/C181789720","wikidata":"https://www.wikidata.org/wiki/Q4812191","display_name":"Asymptotically optimal algorithm","level":2,"score":0.49378928542137146},{"id":"https://openalex.org/C80478641","wikidata":"https://www.wikidata.org/wiki/Q195771","display_name":"Sequential analysis","level":2,"score":0.4797552824020386},{"id":"https://openalex.org/C191988596","wikidata":"https://www.wikidata.org/wiki/Q628374","display_name":"Null hypothesis","level":2,"score":0.45946502685546875},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.43383458256721497},{"id":"https://openalex.org/C34602496","wikidata":"https://www.wikidata.org/wiki/Q2271882","display_name":"Sequential probability ratio test","level":2,"score":0.4180172085762024},{"id":"https://openalex.org/C2780813799","wikidata":"https://www.wikidata.org/wiki/Q3274237","display_name":"Zero (linguistics)","level":2,"score":0.41504979133605957},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.37560826539993286},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.348655104637146},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2295255959033966},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.14100047945976257},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tsp.2020.2971438","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2020.2971438","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Transactions on Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1911.05381","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1911.05381","pdf_url":"https://arxiv.org/pdf/1911.05381","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1911.05381","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1911.05381","pdf_url":"https://arxiv.org/pdf/1911.05381","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1394299923","display_name":null,"funder_award_id":"W911NF-17-1-0464","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G1682363164","display_name":null,"funder_award_id":"CCF-1815559","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W1543633504","https://openalex.org/W1752857656","https://openalex.org/W1960533640","https://openalex.org/W1965327366","https://openalex.org/W1968198881","https://openalex.org/W1970385173","https://openalex.org/W1975906700","https://openalex.org/W1978470213","https://openalex.org/W1988267360","https://openalex.org/W1989562319","https://openalex.org/W1990038735","https://openalex.org/W1990503235","https://openalex.org/W2000184709","https://openalex.org/W2019645207","https://openalex.org/W2045030310","https://openalex.org/W2056134841","https://openalex.org/W2059327505","https://openalex.org/W2067920542","https://openalex.org/W2070495730","https://openalex.org/W2077397896","https://openalex.org/W2079120178","https://openalex.org/W2082167858","https://openalex.org/W2089024057","https://openalex.org/W2101453243","https://openalex.org/W2101643234","https://openalex.org/W2102652334","https://openalex.org/W2104912596","https://openalex.org/W2105934885","https://openalex.org/W2107939512","https://openalex.org/W2114375687","https://openalex.org/W2128118520","https://openalex.org/W2130264299","https://openalex.org/W2140747085","https://openalex.org/W2143265379","https://openalex.org/W2151167757","https://openalex.org/W2151370270","https://openalex.org/W2166205892","https://openalex.org/W2170341113","https://openalex.org/W2293630622","https://openalex.org/W2498422553","https://openalex.org/W2518315969","https://openalex.org/W2533570933","https://openalex.org/W2577420677","https://openalex.org/W2596265978","https://openalex.org/W2597419105","https://openalex.org/W2615799287","https://openalex.org/W2743681928","https://openalex.org/W2945910721","https://openalex.org/W2952795881","https://openalex.org/W2963852296","https://openalex.org/W2964046421","https://openalex.org/W2982216380","https://openalex.org/W3046289800","https://openalex.org/W3099581246","https://openalex.org/W3103364518","https://openalex.org/W3105207610","https://openalex.org/W4232896127","https://openalex.org/W4288089274","https://openalex.org/W6786764078"],"related_works":["https://openalex.org/W2397397884","https://openalex.org/W1992242051","https://openalex.org/W2978844261","https://openalex.org/W2542048200","https://openalex.org/W2356828428","https://openalex.org/W2050385455","https://openalex.org/W1550384647","https://openalex.org/W2680818516","https://openalex.org/W2054229632","https://openalex.org/W2067067951"],"abstract_inverted_index":{"The":[0,47],"problem":[1],"of":[2,97,171,218],"detecting":[3],"anomalies":[4],"in":[5,16,37,95,169],"multiple":[6],"processes":[7],"is":[8,49,87,92,117,128,152,155,167,196],"considered.":[9],"We":[10,66],"consider":[11],"a":[12,23,26,50,68],"composite":[13],"hypothesis":[14,116,151],"case,":[15],"which":[17],"the":[18,56,73,84,89,99,103,110,114,125,139,145,149,164,180,189,193,199,219],"measurements":[19],"drawn":[20],"when":[21,78,109,144],"observing":[22],"process":[24,85],"follow":[25],"common":[27],"distribution":[28],"with":[29,72,133,179],"an":[30,62,184],"unknown":[31],"parameter":[32,41,111,146],"(vector),":[33],"whose":[34],"value":[35,112,147],"lies":[36],"normal":[38,123,162],"or":[39],"abnormal":[40],"spaces,":[42],"depending":[43],"on":[44,83,188,205],"its":[45],"state.":[46,142],"objective":[48],"sequential":[51],"search":[52,70],"strategy":[53],"that":[54,175],"minimizes":[55],"expected":[57],"detection":[58,100,135,181,211],"time":[59,136],"subject":[60],"to":[61,157,177],"error":[63,104,173,190],"probability":[64,105,174,191],"constraint.":[65],"develop":[67],"deterministic":[69],"algorithm":[71,91,127,166,195,221],"following":[74],"desired":[75],"properties.":[76],"First,":[77],"no":[79],"additional":[80],"side":[81],"information":[82],"states":[86],"known,":[88],"proposed":[90,126,165,194,220],"asymptotically":[93,129],"optimal":[94,130],"terms":[96,170],"minimizing":[98],"delay":[101],"as":[102,131],"approaches":[106],"zero.":[107],"Second,":[108],"under":[113,148,192],"null":[115,141,150],"known":[118,156],"and":[119,208],"equal":[120,159],"for":[121,160,198],"all":[122,161],"processes,":[124,163],"well,":[132],"better":[134],"determined":[137],"by":[138],"true":[140],"Third,":[143],"unknown,":[153],"but":[154],"be":[158],"consistent":[168],"achieving":[172],"decays":[176],"zero":[178],"delay.":[182],"Finally,":[183],"explicit":[185],"upper":[186],"bound":[187],"established":[197],"finite":[200],"sample":[201],"regime.":[202],"Extensive":[203],"experiments":[204],"synthetic":[206],"dataset":[207,212],"DARPA":[209],"intrusion":[210],"are":[213],"conducted,":[214],"demonstrating":[215],"strong":[216],"performance":[217],"over":[222],"existing":[223],"methods.":[224]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
