{"id":"https://openalex.org/W4385691580","doi":"https://doi.org/10.1145/3605801.3605807","title":"Detect Advanced Persistent Threat In Graph-Level Using Competitive AutoEncoder","display_name":"Detect Advanced Persistent Threat In Graph-Level Using Competitive AutoEncoder","publication_year":2023,"publication_date":"2023-06-16","ids":{"openalex":"https://openalex.org/W4385691580","doi":"https://doi.org/10.1145/3605801.3605807"},"language":"en","primary_location":{"id":"doi:10.1145/3605801.3605807","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3605801.3605807","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 2nd International Conference on Networks, Communications and Information Technology","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/A5083239792","display_name":"Mai Ye","orcid":"https://orcid.org/0009-0001-2149-9774"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mai Ye","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics, China"],"raw_orcid":"https://orcid.org/0009-0001-2149-9774","affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103134124","display_name":"Shiming Men","orcid":"https://orcid.org/0009-0001-8776-6425"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiming Men","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics, China"],"raw_orcid":"https://orcid.org/0009-0001-8776-6425","affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101908050","display_name":"Lei Xie","orcid":"https://orcid.org/0009-0002-8583-6263"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Xie","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics, China"],"raw_orcid":"https://orcid.org/0009-0002-8583-6263","affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100443103","display_name":"Bing Chen","orcid":"https://orcid.org/0000-0002-2863-5441"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Chen","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics, China"],"raw_orcid":"https://orcid.org/0000-0002-2863-5441","affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics, China","institution_ids":["https://openalex.org/I9842412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1632,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54996438,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"28","last_page":"34"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9961000084877014,"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":0.9961000084877014,"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":0.995199978351593,"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":0.9843000173568726,"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":0.7467799186706543},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.7276147603988647},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6212247610092163},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5225964784622192},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45942166447639465},{"id":"https://openalex.org/keywords/call-graph","display_name":"Call graph","score":0.4411270022392273},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3796508014202118},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3368338346481323},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.18294751644134521}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7467799186706543},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7276147603988647},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6212247610092163},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5225964784622192},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45942166447639465},{"id":"https://openalex.org/C102379954","wikidata":"https://www.wikidata.org/wiki/Q2589940","display_name":"Call graph","level":2,"score":0.4411270022392273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3796508014202118},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3368338346481323},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.18294751644134521}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3605801.3605807","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3605801.3605807","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 2nd International Conference on Networks, Communications and Information Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2117420919","https://openalex.org/W2154851992","https://openalex.org/W2284900416","https://openalex.org/W2910711617","https://openalex.org/W2962703433","https://openalex.org/W2962756421","https://openalex.org/W2978956219","https://openalex.org/W3002573977","https://openalex.org/W3006711782","https://openalex.org/W3015650867","https://openalex.org/W3099203541","https://openalex.org/W3104097132","https://openalex.org/W3126165507","https://openalex.org/W3158906645","https://openalex.org/W3212868562","https://openalex.org/W4220721362","https://openalex.org/W4288057803"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2159052453","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W4297051394","https://openalex.org/W3186512740","https://openalex.org/W3194885736","https://openalex.org/W4363671829","https://openalex.org/W2891286602"],"abstract_inverted_index":{"APT(Advanced":[0],"Persistent":[1],"Threat)":[2],"are":[3],"known":[4],"for":[5,47],"their":[6,55,78],"stealth,":[7],"persistence,":[8],"and":[9,16,21,50,77,113,146,167],"sophistication,":[10],"often":[11],"carried":[12],"out":[13],"by":[14],"skilled":[15],"well-funded":[17],"attackers.":[18],"To":[19],"detect":[20],"investigate":[22],"APT":[23],"attacks":[24],"at":[25],"the":[26,32,37,104,110,119,133,142,151],"host-level,":[27],"scholars":[28],"have":[29,44],"extensively":[30],"studied":[31],"provenance":[33,86],"graph,":[34],"which":[35],"preserves":[36],"complete":[38],"attack":[39,120],"context.":[40],"However,":[41],"existing":[42,161],"methods":[43,162],"impractical":[45],"requirements":[46],"data":[48,135],"collection":[49],"threshold":[51],"setting,":[52],"severely":[53],"impacting":[54],"real-world":[56],"performance.":[57],"In":[58,103],"this":[59,123],"paper,":[60],"we":[61,89,108,125],"propose":[62],"GCA":[63,159],"(Graph":[64,92],"Competitive":[65],"Autoencoder),":[66],"a":[67,85,96],"GNN-based":[68],"graph-level":[69,101,128],"anomaly":[70,105,129],"detection":[71,106,130],"system.":[72],"We":[73,144],"first":[74],"extract":[75],"entities":[76],"interactions":[79],"from":[80],"host":[81],"logs":[82],"to":[83,99,117],"construct":[84],"graph.":[87,121],"Subsequently,":[88],"utilize":[90],"GNN":[91],"Neural":[93],"Network)":[94],"as":[95],"graph":[97],"encoder":[98],"obtain":[100],"embeddings.":[102],"part,":[107],"use":[109],"competitive":[111],"autoencoder":[112],"mutual":[114],"information":[115],"maximization":[116],"identify":[118],"With":[122],"model,":[124],"can":[126],"conduct":[127],"even":[131],"when":[132],"training":[134],"is":[136],"partially":[137],"contaminated,":[138],"without":[139],"manually":[140],"setting":[141],"threshold.":[143],"deploy":[145],"evaluate":[147],"our":[148],"model":[149],"on":[150],"public":[152],"dataset":[153],"StreamSpot.":[154],"Our":[155],"results":[156],"show":[157],"that":[158],"outperforms":[160],"in":[163],"terms":[164],"of":[165],"accuracy":[166],"practicality.":[168]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
