{"id":"https://openalex.org/W4392982109","doi":"https://doi.org/10.1109/icaiic60209.2024.10463483","title":"Deep Learning-Based SBOM Defect Detection for Medical Devices","display_name":"Deep Learning-Based SBOM Defect Detection for Medical Devices","publication_year":2024,"publication_date":"2024-02-19","ids":{"openalex":"https://openalex.org/W4392982109","doi":"https://doi.org/10.1109/icaiic60209.2024.10463483"},"language":"en","primary_location":{"id":"doi:10.1109/icaiic60209.2024.10463483","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic60209.2024.10463483","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101585789","display_name":"Heeyeon Kim","orcid":"https://orcid.org/0000-0003-3102-4737"},"institutions":[{"id":"https://openalex.org/I57664883","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73","country_code":"KR","type":"education","lineage":["https://openalex.org/I57664883"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Heeyeon Kim","raw_affiliation_strings":["Ajou University,dept. Knowledge Information Engineering,Suwon,Republic of Korea","dept. Knowledge Information Engineering, Ajou University, Suwon, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ajou University,dept. Knowledge Information Engineering,Suwon,Republic of Korea","institution_ids":["https://openalex.org/I57664883"]},{"raw_affiliation_string":"dept. Knowledge Information Engineering, Ajou University, Suwon, Republic of Korea","institution_ids":["https://openalex.org/I57664883"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101410896","display_name":"Ki\u2010Hyung Kim","orcid":"https://orcid.org/0000-0001-6624-3003"},"institutions":[{"id":"https://openalex.org/I57664883","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73","country_code":"KR","type":"education","lineage":["https://openalex.org/I57664883"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ki-Hyung Kim","raw_affiliation_strings":["Ajou University,dept. Cyber Security,Suwon,Republic of Korea","dept. Cyber Security, Ajou University, Suwon, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ajou University,dept. Cyber Security,Suwon,Republic of Korea","institution_ids":["https://openalex.org/I57664883"]},{"raw_affiliation_string":"dept. Cyber Security, Ajou University, Suwon, Republic of Korea","institution_ids":["https://openalex.org/I57664883"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I57664883"],"apc_list":null,"apc_paid":null,"fwci":3.0336,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.91313118,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"047","last_page":"051"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.9552000164985657,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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":0.6607316136360168},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5637347102165222},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4858505427837372}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6607316136360168},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5637347102165222},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4858505427837372}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaiic60209.2024.10463483","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic60209.2024.10463483","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7262886773","display_name":null,"funder_award_id":"P0008703","funder_id":"https://openalex.org/F4320322064","funder_display_name":"Korea Institute for Advancement of Technology"}],"funders":[{"id":"https://openalex.org/F4320322064","display_name":"Korea Institute for Advancement of Technology","ror":"https://ror.org/015w1qa96"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2743316948","https://openalex.org/W3010739207","https://openalex.org/W3033736971","https://openalex.org/W3077749392","https://openalex.org/W3086291773","https://openalex.org/W3093046707","https://openalex.org/W3094433618","https://openalex.org/W3100777112","https://openalex.org/W3131069091","https://openalex.org/W4385066271","https://openalex.org/W4401878108","https://openalex.org/W6854623179","https://openalex.org/W6854946673"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W4323565446"],"abstract_inverted_index":{"This":[0,95,125],"paper":[1,79],"focuses":[2,80],"on":[3,81],"the":[4,10,16,21,32,40,43,60,83,89,108],"digital":[5],"innovation":[6],"brought":[7],"about":[8],"by":[9,115,133],"advancement":[11],"of":[12,23,34,45,62,66,85,93,112],"ICT":[13],"technology":[14],"in":[15,52,136],"healthcare":[17,150],"field.":[18],"In":[19],"particular,":[20],"introduction":[22],"cutting-edge":[24],"technologies":[25],"such":[26,71],"as":[27,57],"AI":[28,140],"are":[29,55],"contributing":[30],"to":[31,68,70,106,121,128,130],"improvement":[33],"health":[35],"care":[36],"services,":[37],"but":[38],"at":[39],"same":[41],"time,":[42],"risk":[44],"cybersecurity":[46,84],"threats":[47],"and":[48,77,91,104,110,141],"software":[49,100],"security":[50,132],"problems":[51,72],"medical":[53,86,113,137],"devices":[54,87,114,138],"emerging":[56],"well.":[58],"Therefore,":[59],"importance":[61],"SBOM":[63],"(Software":[64],"Bill":[65],"Materials)":[67],"respond":[69],"has":[73],"now":[74],"been":[75],"emphasized,":[76],"this":[78],"strengthening":[82,131],"through":[88,139],"creation":[90],"application":[92],"SBOM.":[94],"study":[96,126],"develops":[97],"an":[98,117],"AI-based":[99],"defect":[101],"detection":[102],"method":[103,119],"seeks":[105],"ensure":[107],"reliability":[109],"safety":[111],"proposing":[116],"efficient":[118],"compared":[120],"existing":[122],"rule-based":[123],"approaches.":[124],"aims":[127],"contribute":[129],"detecting":[134],"flaws":[135],"establishing":[142],"a":[143],"technical":[144],"foundation":[145],"for":[146],"providing":[147],"ultimate":[148],"quality":[149],"services.":[151]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2026-08-08T01:25:22.217667","created_date":"2025-10-10T00:00:00"}
