{"id":"https://openalex.org/W4378531027","doi":"https://doi.org/10.1145/3590777.3590784","title":"Useful Cyber Threat Intelligence Relation Retrieval Using Transfer Learning","display_name":"Useful Cyber Threat Intelligence Relation Retrieval Using Transfer Learning","publication_year":2023,"publication_date":"2023-05-27","ids":{"openalex":"https://openalex.org/W4378531027","doi":"https://doi.org/10.1145/3590777.3590784"},"language":"en","primary_location":{"id":"doi:10.1145/3590777.3590784","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3590777.3590784","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"European Interdisciplinary Cybersecurity Conference","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/A5066946316","display_name":"Chia-Mei Chen","orcid":"https://orcid.org/0000-0002-4361-0461"},"institutions":[{"id":"https://openalex.org/I142974352","display_name":"National Sun Yat-sen University","ror":"https://ror.org/00mjawt10","country_code":"TW","type":"education","lineage":["https://openalex.org/I142974352"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chia-Mei Chen","raw_affiliation_strings":["National Sun Yat-Sen University, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Sun Yat-Sen University, Taiwan","institution_ids":["https://openalex.org/I142974352"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087815160","display_name":"Fang-Hsuan Hsu","orcid":"https://orcid.org/0009-0009-4992-8786"},"institutions":[{"id":"https://openalex.org/I142974352","display_name":"National Sun Yat-sen University","ror":"https://ror.org/00mjawt10","country_code":"TW","type":"education","lineage":["https://openalex.org/I142974352"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Fang-Hsuan Hsu","raw_affiliation_strings":["National Sun Yat-Sen University, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Sun Yat-Sen University, Taiwan","institution_ids":["https://openalex.org/I142974352"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101702810","display_name":"Jenq\u2013Neng Hwang","orcid":"https://orcid.org/0000-0002-8877-2421"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jenq-Neng Hwang","raw_affiliation_strings":["University of Washington, United States"],"affiliations":[{"raw_affiliation_string":"University of Washington, United States","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5066946316"],"corresponding_institution_ids":["https://openalex.org/I142974352"],"apc_list":null,"apc_paid":null,"fwci":0.8036,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.72204542,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"42","last_page":"46"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9886000156402588,"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":0.9886000156402588,"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/T10028","display_name":"Topic Modeling","score":0.9728999733924866,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9696999788284302,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.7745935320854187},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.7026625871658325},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.48133549094200134},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4416669011116028},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.42688077688217163},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3699188232421875},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.18545383214950562}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7745935320854187},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.7026625871658325},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.48133549094200134},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4416669011116028},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.42688077688217163},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3699188232421875},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.18545383214950562},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3590777.3590784","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3590777.3590784","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"European Interdisciplinary Cybersecurity Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W8550301","https://openalex.org/W1646476837","https://openalex.org/W2617416222","https://openalex.org/W2784295274","https://openalex.org/W2896457183","https://openalex.org/W2908121058","https://openalex.org/W2934951104","https://openalex.org/W2945428946","https://openalex.org/W2962015539","https://openalex.org/W2988249987","https://openalex.org/W3014343990","https://openalex.org/W3035927493","https://openalex.org/W3094533657","https://openalex.org/W3121457173","https://openalex.org/W3129754801","https://openalex.org/W3142507075","https://openalex.org/W3170276438","https://openalex.org/W3172754339","https://openalex.org/W3198333480","https://openalex.org/W4205199446","https://openalex.org/W4214753307","https://openalex.org/W4220716821","https://openalex.org/W6637510689"],"related_works":["https://openalex.org/W4234874385","https://openalex.org/W2323648130","https://openalex.org/W2157140558","https://openalex.org/W2378782423","https://openalex.org/W2388988621","https://openalex.org/W2357797405","https://openalex.org/W2366623913","https://openalex.org/W2374905595","https://openalex.org/W2516693588","https://openalex.org/W3123837699"],"abstract_inverted_index":{"The":[0,138],"emergence":[1],"of":[2,10],"hacker":[3],"groups":[4],"extends":[5],"the":[6,15,34,108,133,143],"complexity":[7],"and":[8,38,64,92,99,127,154],"frequency":[9],"cyberattacks.":[11],"To":[12,114],"adapt":[13],"to":[14,30,39,57,122,131],"rapidly":[16],"evolving":[17],"cyberattacks,":[18],"acquiring":[19],"valuable":[20],"information":[21,55,110,161],"from":[22,111],"security":[23,62,112],"incident":[24],"reports":[25],"is":[26,48,65],"critical":[27,89],"for":[28],"businesses":[29],"gain":[31],"visibility":[32],"into":[33],"fast-evolving":[35],"threat":[36,46,77,90,136,160],"landscape":[37],"timely":[40],"deploy":[41],"preventive":[42],"measures.":[43],"As":[44],"such":[45,54],"intelligence":[47,78],"mostly":[49],"presented":[50],"in":[51,96],"textual":[52,100],"reports,":[53],"needs":[56],"be":[58],"extracted":[59],"manually":[60],"by":[61],"analysts":[63],"highly":[66],"dependent":[67],"on":[68,151],"personnel":[69],"experience.":[70],"This":[71],"research":[72],"proposes":[73],"a":[74,148],"novel":[75],"cyber":[76],"extraction":[79,153],"system":[80,146],"called":[81],"\u201cCARE\u201d":[82],"(Cyber":[83],"Attack":[84],"Relation":[85],"Extraction)":[86],"that":[87,102,142,155],"extracts":[88],"entities":[91],"presents":[93],"their":[94],"relationship":[95],"both":[97],"graphical":[98],"forms":[101],"help":[103],"cybersecurity":[104],"staff":[105],"quickly":[106],"grasp":[107],"key":[109],"reports.":[113],"capture":[115],"attack-related":[116],"information,":[117],"this":[118],"study":[119],"adopts":[120],"BERT":[121],"enhance":[123],"contextualized":[124],"word":[125],"representation":[126],"applies":[128],"transfer":[129],"learning":[130],"extract":[132],"relations":[134],"among":[135],"entities.":[137],"evaluation":[139],"results":[140],"show":[141],"proposed":[144],"CARE":[145],"achieves":[147],"97%":[149],"F1-score":[150],"relation":[152],"it":[156],"could":[157],"retrieve":[158],"useful":[159],"effectively.":[162]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
