{"id":"https://openalex.org/W4403937547","doi":"https://doi.org/10.1109/iscc61673.2024.10733661","title":"LONGAN: Detecting Lateral Movement based on Heterogeneous Graph Neural Networks with Temporal Features","display_name":"LONGAN: Detecting Lateral Movement based on Heterogeneous Graph Neural Networks with Temporal Features","publication_year":2024,"publication_date":"2024-06-26","ids":{"openalex":"https://openalex.org/W4403937547","doi":"https://doi.org/10.1109/iscc61673.2024.10733661"},"language":"en","primary_location":{"id":"doi:10.1109/iscc61673.2024.10733661","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iscc61673.2024.10733661","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Symposium on Computers and Communications (ISCC)","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/A5040328629","display_name":"Yangyang Zong","orcid":"https://orcid.org/0009-0007-0586-1757"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yangyang Zong","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108660469","display_name":"Zhixin Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhixin Shi","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067640198","display_name":"Wei\u2010Qing Huang","orcid":"https://orcid.org/0000-0002-9621-8332"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiqing Huang","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5040328629"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210156404"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19390369,"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":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11285","display_name":"Hearing Impairment and Communication","score":0.9829999804496765,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.939300000667572,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7433964014053345},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.49334660172462463},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4570893943309784},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4539385735988617},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.321496844291687},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.25138145685195923}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7433964014053345},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49334660172462463},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4570893943309784},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4539385735988617},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.321496844291687},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.25138145685195923}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscc61673.2024.10733661","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iscc61673.2024.10733661","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Symposium on Computers and Communications (ISCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2476891002","https://openalex.org/W2604314403","https://openalex.org/W2911286998","https://openalex.org/W2925289689","https://openalex.org/W2974594200","https://openalex.org/W2986944522","https://openalex.org/W3010456454","https://openalex.org/W3012871709","https://openalex.org/W3024257429","https://openalex.org/W3130138053","https://openalex.org/W3132147085","https://openalex.org/W3134942372","https://openalex.org/W3165963211","https://openalex.org/W3209128423","https://openalex.org/W4200304719","https://openalex.org/W4225697716","https://openalex.org/W4226385284","https://openalex.org/W4231449374","https://openalex.org/W4285326819","https://openalex.org/W4290996493","https://openalex.org/W4294558607","https://openalex.org/W4304820095","https://openalex.org/W4360764620","https://openalex.org/W4385245566","https://openalex.org/W4402264131","https://openalex.org/W6726873649","https://openalex.org/W6738964360","https://openalex.org/W6784004519"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Lateral":[0],"movement":[1],"(LM)":[2],"plays":[3],"a":[4,13,80,101,124,146,162],"pivotal":[5],"role":[6],"in":[7],"Advanced":[8],"Persistent":[9],"Threats":[10],"(APTs),":[11],"constituting":[12],"significant":[14],"cybersecurity":[15],"concern.":[16],"Recent":[17],"graph-based":[18],"LM":[19,61,92,97,107,139],"detection":[20,62],"methods":[21],"have":[22],"demonstrated":[23],"satisfactory":[24],"performance":[25,191],"by":[26,109],"harnessing":[27],"the":[28,37,90,142],"potent":[29],"representation":[30],"capabilities":[31],"of":[32,43],"graph":[33,66,83,104,129],"learning":[34],"techniques.":[35],"However,":[36],"evolving":[38],"nature":[39],"and":[40,135,158,194],"increasing":[41],"sophistication":[42],"LMs":[44],"necessitate":[45],"novel":[46],"defensive":[47],"strategies":[48],"to":[49,72,88,95,105,131,151,166,178,198],"thwart":[50],"these":[51],"attacks.":[52],"In":[53,141],"this":[54,74,119],"paper,":[55],"we":[56,77,99,121,144,160],"introduce":[57,79],"LONGAN,":[58],"an":[59],"innovative":[60],"system":[63],"leveraging":[64],"heterogeneous":[65,82,102,111,127,147],"neural":[67],"networks":[68],"incorporating":[69],"temporal":[70,103,115,128,136,163],"features":[71,137],"tackle":[73],"challenge.":[75],"Specifically,":[76],"first":[78],"formalized":[81],"encompassing":[84],"various":[85],"network":[86],"entities":[87],"model":[89,106],"intricate":[91],"scenario.":[93],"Subsequently,":[94],"capture":[96],"dynamics,":[98],"employ":[100],"evolution":[108],"integrating":[110],"spatial":[112,134,148],"information":[113],"across":[114],"dimensions.":[116],"Building":[117],"upon":[118],"foundation,":[120],"devise":[122,145],"HSTA,":[123,143],"framework":[125],"for":[126,138,154],"learning,":[130],"aggregate":[132],"both":[133],"detection.":[140],"aggregation":[149,164],"module":[150,165],"learn":[152],"representations":[153],"diverse":[155],"entity":[156],"types":[157],"relations;":[159],"design":[161],"consolidate":[167],"historical":[168],"node":[169],"sequences":[170],"into":[171],"their":[172],"representations.":[173],"These":[174],"modules":[175],"synergistically":[176],"operate":[177],"identify":[179],"LMs.":[180],"Evaluation":[181],"on":[182],"public":[183],"datasets":[184],"demonstrates":[185],"that":[186],"our":[187],"LONGAN":[188],"achieves":[189],"superior":[190],"(98.09%":[192],"AUC":[193],"96.56%":[195],"F1-score)":[196],"compared":[197],"state-of-the-art":[199],"approaches.":[200]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
