{"id":"https://openalex.org/W4410090375","doi":"https://doi.org/10.1145/3696410.3714621","title":"Facing Anomalies Head-On: Network Traffic Anomaly Detection via Uncertainty-Inspired Inter-Sample Differences","display_name":"Facing Anomalies Head-On: Network Traffic Anomaly Detection via Uncertainty-Inspired Inter-Sample Differences","publication_year":2025,"publication_date":"2025-04-22","ids":{"openalex":"https://openalex.org/W4410090375","doi":"https://doi.org/10.1145/3696410.3714621"},"language":"en","primary_location":{"id":"doi:10.1145/3696410.3714621","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696410.3714621","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714621","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714621","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025519634","display_name":"Xinglin Lian","orcid":"https://orcid.org/0009-0000-0627-8933"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinglin Lian","raw_affiliation_strings":["Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025144135","display_name":"Chengtai Cao","orcid":"https://orcid.org/0000-0003-3944-8358"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Chengtai Cao","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100594210","display_name":"Yan Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Liu","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034170705","display_name":"Xovee Xu","orcid":"https://orcid.org/0000-0001-6415-7558"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xovee Xu","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100681018","display_name":"Yu Zheng","orcid":"https://orcid.org/0000-0001-8336-5651"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zheng","raw_affiliation_strings":["Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100403505","display_name":"Fan Zhou","orcid":"https://orcid.org/0000-0002-8038-8150"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Zhou","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5025519634"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":16.2185,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.98808794,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3908","last_page":"3917"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998999834060669,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9919999837875366,"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/anomaly-detection","display_name":"Anomaly detection","score":0.654798150062561},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.6167572736740112},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.61631178855896},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5917354226112366},{"id":"https://openalex.org/keywords/head","display_name":"Head (geology)","score":0.5191547274589539},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48990052938461304},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3735218346118927},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3340202271938324},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3243219256401062},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.21787071228027344},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07233643531799316}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.654798150062561},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.6167572736740112},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.61631178855896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5917354226112366},{"id":"https://openalex.org/C2780312720","wikidata":"https://www.wikidata.org/wiki/Q5689100","display_name":"Head (geology)","level":2,"score":0.5191547274589539},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48990052938461304},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3735218346118927},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3340202271938324},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3243219256401062},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.21787071228027344},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07233643531799316},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3696410.3714621","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696410.3714621","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714621","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3696410.3714621","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696410.3714621","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714621","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3085993365","display_name":null,"funder_award_id":"(Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3976612152","display_name":null,"funder_award_id":"62176043","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5249178904","display_name":null,"funder_award_id":"Grant No. 6","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5625929805","display_name":null,"funder_award_id":"6217604","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5983462902","display_name":null,"funder_award_id":"62072077","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6058138561","display_name":null,"funder_award_id":", No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G680623718","display_name":null,"funder_award_id":"U22A2097","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8863666567","display_name":null,"funder_award_id":"and No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410090375.pdf","grobid_xml":"https://content.openalex.org/works/W4410090375.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W398859631","https://openalex.org/W2606697812","https://openalex.org/W3102100346","https://openalex.org/W3164731060","https://openalex.org/W3183048323","https://openalex.org/W3183588514","https://openalex.org/W3186353005","https://openalex.org/W4224926219","https://openalex.org/W4287881536","https://openalex.org/W4291710829","https://openalex.org/W4304084053","https://openalex.org/W4312772600","https://openalex.org/W4313060919","https://openalex.org/W4324007053","https://openalex.org/W4324007233","https://openalex.org/W4384436171","https://openalex.org/W4387158267","https://openalex.org/W4387846563","https://openalex.org/W4387898479","https://openalex.org/W4390875033","https://openalex.org/W4393346666","https://openalex.org/W4396758706","https://openalex.org/W4402618655","https://openalex.org/W4402704537","https://openalex.org/W4404896192","https://openalex.org/W6600020652"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2667207928","https://openalex.org/W2912112202","https://openalex.org/W4377864969","https://openalex.org/W3120251014"],"abstract_inverted_index":{"Network":[0],"traffic":[1],"anomaly":[2,58,65,108,119],"detection":[3,59],"is":[4],"pivotal":[5],"in":[6,22,62,79,101,144],"cybersecurity,":[7],"especially":[8],"as":[9],"data":[10],"volume":[11],"grows":[12],"and":[13,33,90,127,148],"security":[14],"requirement":[15],"intensifies.":[16],"This":[17],"study":[18],"addresses":[19],"critical":[20],"limitations":[21,96],"existing":[23],"reconstruction-based":[24,102],"methods,":[25,103],"which":[26,52],"quantify":[27],"anomalies":[28,150],"relying":[29],"on":[30,111,137],"intra-sample":[31,98],"differences":[32],"struggle":[34],"to":[35,56,76,86],"detect":[36],"drifted":[37,149],"anomalies.":[38],"In":[39],"response,":[40],"we":[41,104],"propose":[42,105],"a":[43,106,123],"novel":[44,107],"approach,":[45],"the":[46,71,95,118],"Uncertainty-Inspired":[47],"Inter-Sample":[48],"Differences":[49],"(UnDiff)":[50],"method,":[51],"leverages":[53],"model":[54,73,125],"uncertainty":[55,78,113,129],"enhance":[57],"capabilities,":[60],"particularly":[61],"scenarios":[63],"involving":[64],"drift.":[66],"By":[67],"employing":[68],"evidential":[69],"learning,":[70],"UnDiff":[72,131],"gathers":[74],"evidence":[75],"minimize":[77],"normal":[80,89],"network":[81],"traffic,":[82],"enhancing":[83],"its":[84],"ability":[85],"differentiate":[87],"between":[88],"anomalous":[91],"traffic.":[92],"To":[93],"overcome":[94],"of":[97],"difference":[99],"quantification":[100],"score":[109],"based":[110],"inter-sample":[112],"deviation":[114],"that":[115],"directly":[116],"quantifies":[117],"degree.":[120],"Benefiting":[121],"from":[122],"concise":[124],"design":[126],"parameterized":[128],"quantification,":[130],"achieves":[132],"high":[133],"efficiency.":[134],"Extensive":[135],"experiments":[136],"three":[138],"benchmarks":[139],"demonstrate":[140],"UnDiff's":[141],"superior":[142],"performance":[143],"detecting":[145],"both":[146],"undrifted":[147],"with":[151],"minimal":[152],"computational":[153],"overhead.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}