{"id":"https://openalex.org/W2140738143","doi":"https://doi.org/10.1109/jstsp.2012.2233193","title":"Dynamic Anomalography: Tracking Network Anomalies Via Sparsity and Low Rank","display_name":"Dynamic Anomalography: Tracking Network Anomalies Via Sparsity and Low Rank","publication_year":2012,"publication_date":"2012-12-08","ids":{"openalex":"https://openalex.org/W2140738143","doi":"https://doi.org/10.1109/jstsp.2012.2233193","mag":"2140738143"},"language":"en","primary_location":{"id":"doi:10.1109/jstsp.2012.2233193","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2012.2233193","pdf_url":null,"source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"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 Journal of Selected Topics in 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/1208.4043","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060755739","display_name":"Morteza Mardani","orcid":"https://orcid.org/0000-0002-3788-137X"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Morteza Mardani","raw_affiliation_strings":["Department of Electrical and Computer Engineering and the Digital Technology Center, University of Minnesota, Minneapolis, MN, USA","Dept. of Electr. & Comput. Eng, Univ. of Minnesota, Minneapolis, MN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering and the Digital Technology Center, University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng, Univ. of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006078163","display_name":"Gonzalo Mateos","orcid":"https://orcid.org/0000-0002-9847-6298"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gonzalo Mateos","raw_affiliation_strings":["Department of Electrical and Computer Engineering and the Digital Technology Center, University of Minnesota, Minneapolis, MN, USA","Dept. of Electr. & Comput. Eng, Univ. of Minnesota, Minneapolis, MN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering and the Digital Technology Center, University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng, Univ. of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026758314","display_name":"Georgios B. Giannakis","orcid":"https://orcid.org/0000-0002-0196-0260"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Georgios B. Giannakis","raw_affiliation_strings":["Department of Electrical and Computer Engineering and the Digital Technology Center, University of Minnesota, Minneapolis, MN, USA","Dept. of Electr. & Comput. Eng, Univ. of Minnesota, Minneapolis, MN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering and the Digital Technology Center, University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng, Univ. of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5060755739"],"corresponding_institution_ids":["https://openalex.org/I130238516"],"apc_list":null,"apc_paid":null,"fwci":12.9246,"has_fulltext":false,"cited_by_count":131,"citation_normalized_percentile":{"value":0.99199431,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"7","issue":"1","first_page":"50","last_page":"66"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9995999932289124,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5844495296478271},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.48925256729125977},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4366515874862671},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.43110793828964233},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3357943892478943},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25048625469207764},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.09863981604576111}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5844495296478271},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.48925256729125977},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4366515874862671},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.43110793828964233},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3357943892478943},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25048625469207764},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.09863981604576111},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstsp.2012.2233193","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2012.2233193","pdf_url":null,"source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"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 Journal of Selected Topics in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1208.4043","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1208.4043","pdf_url":"https://arxiv.org/pdf/1208.4043","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:1208.4043","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1208.4043","pdf_url":"https://arxiv.org/pdf/1208.4043","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":[{"id":"https://metadata.un.org/sdg/14","score":0.4099999964237213,"display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1540723801","https://openalex.org/W1540764732","https://openalex.org/W1547069917","https://openalex.org/W1550574544","https://openalex.org/W1963732102","https://openalex.org/W1997299558","https://openalex.org/W1998925295","https://openalex.org/W2003753589","https://openalex.org/W2028781966","https://openalex.org/W2044670824","https://openalex.org/W2045983409","https://openalex.org/W2047071281","https://openalex.org/W2060037683","https://openalex.org/W2096642693","https://openalex.org/W2100556411","https://openalex.org/W2103972604","https://openalex.org/W2105767123","https://openalex.org/W2112447569","https://openalex.org/W2118550318","https://openalex.org/W2119667497","https://openalex.org/W2129122308","https://openalex.org/W2129131372","https://openalex.org/W2131389289","https://openalex.org/W2132743051","https://openalex.org/W2133515443","https://openalex.org/W2134583708","https://openalex.org/W2145962650","https://openalex.org/W2146616964","https://openalex.org/W2147656689","https://openalex.org/W2150226602","https://openalex.org/W2154514661","https://openalex.org/W2157578436","https://openalex.org/W2168955340","https://openalex.org/W2169342250","https://openalex.org/W2293322640","https://openalex.org/W2595897327","https://openalex.org/W2611328865","https://openalex.org/W2787894218","https://openalex.org/W2936995161","https://openalex.org/W2951328719","https://openalex.org/W2962834831","https://openalex.org/W3104624268","https://openalex.org/W3106324661","https://openalex.org/W3122732016","https://openalex.org/W4230079300","https://openalex.org/W4237456942","https://openalex.org/W4242209908","https://openalex.org/W4243330440","https://openalex.org/W4248484754","https://openalex.org/W4298304654","https://openalex.org/W4298812878","https://openalex.org/W6674909129","https://openalex.org/W6675827137","https://openalex.org/W6676727762"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"In":[0],"the":[1,26,82,98,104,110,117,136,146,149,153,159,222,225],"backbone":[2,80],"of":[3,32,40,73,90,113,120,145,152,224],"large-scale":[4],"networks,":[5],"origin-to-destination":[6],"(OD)":[7],"traffic":[8,16,69,155,243],"flows":[9,115],"experience":[10,44],"abrupt":[11],"unusual":[12],"changes":[13],"known":[14],"as":[15,48,50,209],"volume":[17],"anomalies,":[18,121,147],"which":[19,29],"can":[20],"result":[21],"in":[22,45,92],"congestion":[23],"and":[24,95,106,116,148,178,217,229,233],"limit":[25],"extent":[27],"to":[28,85,167,241],"end-user":[30,43],"quality":[31],"service":[33],"requirements":[34],"are":[35,193],"met.":[36],"As":[37],"a":[38,59,122,164,170,195,197],"means":[39],"maintaining":[41],"seamless":[42],"dynamic":[46,65,174],"environments,":[47],"well":[49],"for":[51,173],"ensuring":[52],"network":[53,61,99,219],"security,":[54],"this":[55],"paper":[56],"deals":[57],"with":[58,135,214],"crucial":[60],"monitoring":[62],"task":[63],"termed":[64],"anomalography.":[66],"Given":[67],"link":[68],"measurements":[70],"(noisy":[71],"superpositions":[72],"unobserved":[74],"OD":[75,114],"flows)":[76],"periodically":[77],"acquired":[78],"by":[79],"routers,":[81],"goal":[83],"is":[84,126,176,207],"construct":[86],"an":[87,130],"estimated":[88],"map":[89],"anomalies":[91],"real":[93,218],"time,":[94],"thus":[96],"summarize":[97],"`health":[100],"state'":[101],"along":[102],"both":[103,215],"flow":[105],"time":[107],"dimensions.":[108],"Leveraging":[109],"low":[111],"intrinsic-dimensionality":[112],"sparse":[118],"nature":[119],"novel":[123],"online":[124,168,227],"estimator":[125],"proposed":[127,226],"based":[128,202],"on":[129,203],"exponentially-weighted":[131],"least-squares":[132],"criterion":[133],"regularized":[134],"sparsity-promoting":[137],"<i":[138],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[139,142],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">l</i>":[140],"<sub":[141],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[143],"-norm":[144],"nuclear":[150,161],"norm":[151,162],"nominal":[154],"matrix.":[156],"After":[157],"recasting":[158],"non-separable":[160],"into":[163],"form":[165],"amenable":[166],"optimization,":[169],"real-time":[171],"algorithm":[172,201],"anomalography":[175],"developed":[177,208,240],"its":[179],"convergence":[180],"established":[181],"under":[182],"simplifying":[183],"technical":[184],"assumptions.":[185],"For":[186],"operational":[187],"conditions":[188],"where":[189],"computational":[190],"complexity":[191],"reductions":[192],"at":[194],"premium,":[196],"lightweight":[198],"stochastic":[199],"gradient":[200],"Nesterov's":[204],"acceleration":[205],"technique":[206],"well.":[210],"Comprehensive":[211],"numerical":[212],"tests":[213],"synthetic":[216],"data":[220],"corroborate":[221],"effectiveness":[223],"algorithms":[228],"their":[230],"tracking":[231],"capabilities,":[232],"demonstrate":[234],"that":[235],"they":[236],"outperform":[237],"state-of-the-art":[238],"approaches":[239],"diagnose":[242],"anomalies.":[244]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":26},{"year":2017,"cited_by_count":12},{"year":2016,"cited_by_count":11},{"year":2015,"cited_by_count":15},{"year":2014,"cited_by_count":11},{"year":2013,"cited_by_count":9},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
