{"id":"https://openalex.org/W4392384285","doi":"https://doi.org/10.1145/3616855.3635783","title":"PhoGAD: Graph-based Anomaly Behavior Detection with Persistent Homology Optimization","display_name":"PhoGAD: Graph-based Anomaly Behavior Detection with Persistent Homology Optimization","publication_year":2024,"publication_date":"2024-03-04","ids":{"openalex":"https://openalex.org/W4392384285","doi":"https://doi.org/10.1145/3616855.3635783"},"language":"en","primary_location":{"id":"doi:10.1145/3616855.3635783","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3616855.3635783","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-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/A5103017391","display_name":"Ziqi Yuan","orcid":"https://orcid.org/0000-0001-8539-3146"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ziqi Yuan","raw_affiliation_strings":["School of Computer Science and Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086419494","display_name":"Haoyi Zhou","orcid":"https://orcid.org/0000-0002-2393-3634"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoyi Zhou","raw_affiliation_strings":["Zhongguancun Laboratory &amp; School of Software, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Zhongguancun Laboratory &amp; School of Software, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103039761","display_name":"Tianyu Chen","orcid":"https://orcid.org/0009-0002-0649-5799"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyu Chen","raw_affiliation_strings":["School of Computer Science and Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100380463","display_name":"Jianxin Li","orcid":"https://orcid.org/0000-0001-5152-0055"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianxin Li","raw_affiliation_strings":["Zhongguancun Laboratory &amp; School of Computer Science and Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Zhongguancun Laboratory &amp; School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103017391"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":2.3742,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.8854673,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"920","last_page":"929"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9902999997138977,"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":0.9902999997138977,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9764999747276306,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9714000225067139,"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":0.7007538080215454},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6917369365692139},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.45338499546051025},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.4531840980052948},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4420726001262665},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.42778512835502625},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.36438077688217163},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3588687777519226},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3306562900543213}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7007538080215454},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6917369365692139},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.45338499546051025},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.4531840980052948},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4420726001262665},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.42778512835502625},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.36438077688217163},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3588687777519226},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3306562900543213}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3616855.3635783","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3616855.3635783","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4000000059604645,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"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/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/G3336587481","display_name":null,"funder_award_id":"62225202, 62202029","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"},{"id":"https://openalex.org/G4966747191","display_name":null,"funder_award_id":"62202029","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/G8128231151","display_name":null,"funder_award_id":"62225202","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"},{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1689711448","https://openalex.org/W2296509296","https://openalex.org/W2517417371","https://openalex.org/W2767094836","https://openalex.org/W2884561390","https://openalex.org/W2936324353","https://openalex.org/W2966841471","https://openalex.org/W3015799890","https://openalex.org/W3023128419","https://openalex.org/W3034122135","https://openalex.org/W3091193567","https://openalex.org/W3120907553","https://openalex.org/W3126525704","https://openalex.org/W3133518153","https://openalex.org/W3151900735","https://openalex.org/W3154927178","https://openalex.org/W3189431285","https://openalex.org/W3191490876","https://openalex.org/W3201472824","https://openalex.org/W4224321676","https://openalex.org/W4229042815","https://openalex.org/W4288096081","https://openalex.org/W4307042912","https://openalex.org/W4311091257","https://openalex.org/W4313141835","https://openalex.org/W4313200733","https://openalex.org/W4318812135","https://openalex.org/W4318822267","https://openalex.org/W4321485229","https://openalex.org/W4363678423","https://openalex.org/W6600388300","https://openalex.org/W6603806335"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W2357468538","https://openalex.org/W1577110157","https://openalex.org/W2355007334","https://openalex.org/W2345479200","https://openalex.org/W2183306018","https://openalex.org/W2390009783","https://openalex.org/W4254602698","https://openalex.org/W2394461323","https://openalex.org/W2932872266"],"abstract_inverted_index":{"A":[0],"multitude":[1],"of":[2,21,29,59,83,111,120,161,186,208],"toxic":[3],"online":[4],"behaviors,":[5,31],"ranging":[6],"from":[7],"network":[8,30],"attacks":[9],"to":[10,24,53,102,116,124,181],"anonymous":[11],"traffic":[12],"and":[13,49,65,134,151],"spam,":[14],"have":[15],"severely":[16],"disrupted":[17],"the":[18,25,45,63,81,109,118,126,159,194,206,209],"smooth":[19],"operation":[20],"networks.":[22],"Due":[23],"inherent":[26],"sender-receiver":[27],"nature":[28],"graph-based":[32,93],"frameworks":[33,164],"are":[34,114],"commonly":[35],"used":[36],"for":[37],"detecting":[38],"anomalous":[39,50],"behaviors.":[40],"However,":[41],"in":[42,165,192],"real-world":[43,182],"scenarios,":[44],"boundary":[46],"between":[47],"normal":[48,199],"behaviors":[51],"tends":[52],"be":[54],"ambiguous.":[55],"The":[56,184],"local":[57,121],"heterophily":[58],"graphs":[60],"interferes":[61],"with":[62,174],"detection,":[64],"existing":[66],"methods":[67],"based":[68],"on":[69,148],"nodes":[70],"or":[71],"edges":[72,113],"introduce":[73],"unwanted":[74],"noise":[75,127],"into":[76],"representation":[77],"results,":[78],"thereby":[79],"impacting":[80],"effectiveness":[82,191,207],"detection.":[84,146],"To":[85],"address":[86],"these":[87],"issues,":[88],"we":[89,129],"propose":[90,135],"PhoGAD,":[91],"a":[92,131,136],"anomaly":[94,144,176],"detection":[95,166,172],"framework.":[96],"PhoGAD":[97,156,169],"leverages":[98],"persistent":[99,187],"homology":[100,188],"optimization":[101],"clarify":[103],"behavioral":[104],"boundaries.":[105],"Building":[106],"upon":[107],"this,":[108],"weights":[110],"adjacent":[112],"designed":[115],"mitigate":[117],"effects":[119],"heterophily.":[122],"Subsequently,":[123],"tackle":[125],"problem,":[128],"conduct":[130],"formal":[132],"analysis":[133,185],"disentangled":[137],"representation-based":[138],"explicit":[139],"embedding":[140],"method,":[141],"ultimately":[142],"achieving":[143],"behavior":[145],"Experiments":[147],"intrusion,":[149],"traffic,":[150],"spam":[152],"datasets":[153],"verify":[154],"that":[155],"has":[157],"surpassed":[158],"performance":[160],"state-of-the-art":[162],"(SOTA)":[163],"efficacy.":[167],"Notably,":[168],"demonstrates":[170,189],"robust":[171],"even":[173],"diminished":[175],"proportions,":[177],"highlighting":[178],"its":[179,190],"applicability":[180],"scenarios.":[183],"capturing":[193],"topological":[195],"structure":[196],"formed":[197],"by":[198],"edge":[200],"features.":[201],"Additionally,":[202],"ablation":[203],"experiments":[204],"validate":[205],"innovative":[210],"mechanisms":[211],"integrated":[212],"within":[213],"PhoGAD.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}
