{"id":"https://openalex.org/W4399146427","doi":"https://doi.org/10.1109/tnet.2024.3405798","title":"Fast Online Learning of Vulnerabilities for Networks With Propagating Failures","display_name":"Fast Online Learning of Vulnerabilities for Networks With Propagating Failures","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4399146427","doi":"https://doi.org/10.1109/tnet.2024.3405798"},"language":"en","primary_location":{"id":"doi:10.1109/tnet.2024.3405798","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tnet.2024.3405798","pdf_url":null,"source":{"id":"https://openalex.org/S62238642","display_name":"IEEE/ACM Transactions on Networking","issn_l":"1063-6692","issn":["1063-6692","1558-2566"],"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/ACM Transactions on Networking","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/A5098933898","display_name":"Yilin Zheng","orcid":"https://orcid.org/0000-0002-5663-4411"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yilin Zheng","raw_affiliation_strings":["Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH, USA"],"raw_orcid":"https://orcid.org/0000-0002-5663-4411","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054923152","display_name":"Semih \u00c7ayc\u0131","orcid":"https://orcid.org/0000-0001-7928-0794"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Semih Cayci","raw_affiliation_strings":["Department of Mathematics, RWTH Aachen University, Aachen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076974020","display_name":"Atilla Ery\u0131lmaz","orcid":"https://orcid.org/0000-0001-5560-5806"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Atilla Eryilmaz","raw_affiliation_strings":["Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH, USA"],"raw_orcid":"https://orcid.org/0000-0001-5560-5806","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07007205,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9639999866485596,"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":0.9639999866485596,"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":0.927299976348877,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.605539858341217},{"id":"https://openalex.org/keywords/online-learning","display_name":"Online learning","score":0.43151915073394775},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.15679121017456055}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.605539858341217},{"id":"https://openalex.org/C2986087404","wikidata":"https://www.wikidata.org/wiki/Q15946010","display_name":"Online learning","level":2,"score":0.43151915073394775},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.15679121017456055}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnet.2024.3405798","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tnet.2024.3405798","pdf_url":null,"source":{"id":"https://openalex.org/S62238642","display_name":"IEEE/ACM Transactions on Networking","issn_l":"1063-6692","issn":["1063-6692","1558-2566"],"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/ACM Transactions on Networking","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1423292295","display_name":null,"funder_award_id":"W911NF-24-1-0103","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G3405165046","display_name":null,"funder_award_id":"N00014-19-1-2621","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1568586930","https://openalex.org/W1753658588","https://openalex.org/W1861050369","https://openalex.org/W1881419322","https://openalex.org/W1914027636","https://openalex.org/W1970930040","https://openalex.org/W2014018052","https://openalex.org/W2038195874","https://openalex.org/W2049396938","https://openalex.org/W2049934117","https://openalex.org/W2061820396","https://openalex.org/W2101484286","https://openalex.org/W2108858998","https://openalex.org/W2111772797","https://openalex.org/W2130466555","https://openalex.org/W2131997358","https://openalex.org/W2137152139","https://openalex.org/W2138993731","https://openalex.org/W2142971854","https://openalex.org/W2168405694","https://openalex.org/W2407643974","https://openalex.org/W2755088640","https://openalex.org/W2767767619","https://openalex.org/W2950997578","https://openalex.org/W3005169540","https://openalex.org/W3008594870","https://openalex.org/W3011969122","https://openalex.org/W3124229194","https://openalex.org/W3155217882","https://openalex.org/W4206530644","https://openalex.org/W4211030719","https://openalex.org/W4244267652","https://openalex.org/W4295298559"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"In":[0,53],"real-world":[1,208],"networks,":[2,12,19,24],"we":[3,56,98,131,146,159,177,187],"regularly":[4],"face":[5],"the":[6,50,73,77,84,91,113,161,196],"effect":[7],"of":[8,39,47,76,163,173,195],"propagating":[9,51,64],"failures":[10,34,65,104,126],"over":[11,17,22,27,36],"for":[13,71,185,204],"example,":[14],"rumors":[15],"spread":[16,21,26,35],"social":[18],"outages":[20],"power":[23],"viruses":[25],"communication":[28],"and":[29,43,66,102,127,207],"biological":[30],"networks.":[31,209],"Often,":[32],"these":[33],"a":[37,58,133,143,148,153,168,179,189],"network":[38,60,78],"agents":[40],"with":[41,79,105,137],"unknown":[42,74],"potentially":[44],"diverse":[45],"degrees":[46],"vulnerabilities":[48,75],"to":[49,63,90,116,121,124],"phenomenon.":[52],"this":[54],"work,":[55],"consider":[57],"general":[59],"model":[61,96],"subject":[62],"develop":[67],"provably":[68],"fast":[69,180],"mechanisms":[70],"learning":[72,111,183],"minimal":[80],"cost":[81,134],"incurred":[82],"in":[83],"process.":[85],"We":[86],"propose":[87,178],"an":[88,109,118],"extension":[89],"classic":[92],"Independent":[93],"Cascade":[94],"(IC)":[95],"where":[97,123],"incorporate":[99],"both":[100,205],"node":[101],"edge":[103],"non-uniform":[106],"costs.":[107],"From":[108],"online":[110,182],"perspective,":[112],"goal":[114],"is":[115],"find":[117],"optimal":[119],"policy":[120,197],"control":[122],"start":[125],"generate":[128],"samples.":[129],"Therefore,":[130],"formulate":[132],"minimization":[135],"problem":[136,151],"Probably-Approximately-Correct":[138],"(PAC)":[139],"type":[140],"guarantees.":[141],"As":[142],"theoretical":[144,191],"benchmark,":[145],"design":[147],"linear":[149],"programming":[150],"using":[152],"proposed":[154],"joint":[155],"Bernstein":[156],"inequality.":[157],"Then":[158],"characterize":[160],"performance":[162,194],"randomized":[164],"policies":[165],"that":[166],"use":[167],"fixed":[169],"budget":[170],"distribution":[171],"independent":[172],"sampling":[174],"history.":[175],"Finally,":[176],"Lyapunov-based":[181],"policy,":[184],"which":[186],"give":[188],"formal":[190],"analysis.":[192],"The":[193],"are":[198],"validated":[199],"under":[200],"extensive":[201],"numerical":[202],"studies":[203],"synthetic":[206]},"counts_by_year":[],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}