{"id":"https://openalex.org/W4406458507","doi":"https://doi.org/10.1109/bigdata62323.2024.10825755","title":"Automated Knowledge Framework for IoT Cybersecurity Compliance","display_name":"Automated Knowledge Framework for IoT Cybersecurity Compliance","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406458507","doi":"https://doi.org/10.1109/bigdata62323.2024.10825755"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10825755","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825755","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","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/A5115940091","display_name":"Ikechukwu Oranekwu","orcid":null},"institutions":[{"id":"https://openalex.org/I76756774","display_name":"Texas A&M University \u2013 Central Texas","ror":"https://ror.org/015hh0z25","country_code":"US","type":"education","lineage":["https://openalex.org/I76756774"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ikechukwu Oranekwu","raw_affiliation_strings":["Texas A&M University - Central Texas,Dept. of Computer Information Systems,Killeen,USA"],"affiliations":[{"raw_affiliation_string":"Texas A&M University - Central Texas,Dept. of Computer Information Systems,Killeen,USA","institution_ids":["https://openalex.org/I76756774"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047534464","display_name":"Lavanya Elluri","orcid":null},"institutions":[{"id":"https://openalex.org/I76756774","display_name":"Texas A&M University \u2013 Central Texas","ror":"https://ror.org/015hh0z25","country_code":"US","type":"education","lineage":["https://openalex.org/I76756774"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lavanya Elluri","raw_affiliation_strings":["Texas A&M University - Central Texas,Dept. of Computer Information Systems,Killeen,USA"],"affiliations":[{"raw_affiliation_string":"Texas A&M University - Central Texas,Dept. of Computer Information Systems,Killeen,USA","institution_ids":["https://openalex.org/I76756774"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003865035","display_name":"Gunjan Batra","orcid":"https://orcid.org/0000-0001-6954-6501"},"institutions":[{"id":"https://openalex.org/I172980758","display_name":"Kennesaw State University","ror":"https://ror.org/00jeqjx33","country_code":"US","type":"education","lineage":["https://openalex.org/I172980758"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gunjan Batra","raw_affiliation_strings":["Kennesaw State University,Dept. of Information Systems and Security,Kennesaw,USA"],"affiliations":[{"raw_affiliation_string":"Kennesaw State University,Dept. of Information Systems and Security,Kennesaw,USA","institution_ids":["https://openalex.org/I172980758"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5115940091"],"corresponding_institution_ids":["https://openalex.org/I76756774"],"apc_list":null,"apc_paid":null,"fwci":2.2188,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.89280699,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"6336","last_page":"6345"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9991999864578247,"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":0.9991999864578247,"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/T10734","display_name":"Information and Cyber Security","score":0.9976000189781189,"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"}},{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7248826026916504},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.7094566822052002},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.6996617317199707},{"id":"https://openalex.org/keywords/compliance","display_name":"Compliance (psychology)","score":0.6681299805641174}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7248826026916504},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.7094566822052002},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.6996617317199707},{"id":"https://openalex.org/C2781460075","wikidata":"https://www.wikidata.org/wiki/Q1399332","display_name":"Compliance (psychology)","level":2,"score":0.6681299805641174},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10825755","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825755","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1548346924","https://openalex.org/W1583720937","https://openalex.org/W2891787071","https://openalex.org/W2894066856","https://openalex.org/W3029172965","https://openalex.org/W3034246027","https://openalex.org/W3042262594","https://openalex.org/W3080107865","https://openalex.org/W3113471021","https://openalex.org/W3160638507","https://openalex.org/W3173577015","https://openalex.org/W3173777717","https://openalex.org/W3199578361","https://openalex.org/W4206245198","https://openalex.org/W4221143046","https://openalex.org/W4229022947","https://openalex.org/W4282938838","https://openalex.org/W4283639786","https://openalex.org/W4292779060","https://openalex.org/W4388747994","https://openalex.org/W4391093128","https://openalex.org/W4391096533","https://openalex.org/W4396600952","https://openalex.org/W4396823873","https://openalex.org/W4400201619","https://openalex.org/W4401213083","https://openalex.org/W6755007836","https://openalex.org/W6778883912","https://openalex.org/W6779012632","https://openalex.org/W6809646742","https://openalex.org/W6811585213","https://openalex.org/W6839753020","https://openalex.org/W6859238753","https://openalex.org/W6866510015","https://openalex.org/W6866512977"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4245926026","https://openalex.org/W2410395228","https://openalex.org/W4311097251","https://openalex.org/W2586548817","https://openalex.org/W2390279801","https://openalex.org/W3125941065","https://openalex.org/W2625093826"],"abstract_inverted_index":{"Rapid":[0],"expansion":[1],"in":[2,17,109],"the":[3,41,72,149,155,170,180],"manufacture":[4],"and":[5,27,46,64,71,119,134,145,168,193,197],"use":[6],"of":[7,9,44,139,151,172],"Internet":[8],"Things":[10],"(IoT)":[11],"devices":[12,33],"has":[13,189],"introduced":[14],"significant":[15,77],"challenges":[16],"ensuring":[18],"compliance":[19,104,191],"with":[20,124,162],"cybersecurity":[21,57,153],"standards.":[22],"To":[23],"protect":[24],"user":[25],"data":[26],"privacy,":[28],"all":[29],"organizations":[30,116],"providing":[31],"IoT":[32,60,143],"must":[34],"adhere":[35],"to":[36,88,117,179],"complex":[37],"guidelines":[38,58,70],"such":[39],"as":[40],"National":[42],"Institute":[43],"Standards":[45],"Technology":[47],"Inter":[48],"agency":[49],"Report":[50],"(NIST":[51],"IR)":[52],"8259,":[53],"which":[54,106],"defines":[55],"essential":[56],"for":[59,79,94,142],"manufacturers.":[61],"However,":[62],"interpreting":[63],"applying":[65],"these":[66,69],"rules":[67],"from":[68,91],"privacy":[73,121],"policies":[74],"remains":[75],"a":[76,85,110,136],"challenge":[78],"companies.":[80],"Thus,":[81],"this":[82],"project":[83],"presents":[84],"novel":[86],"approach":[87],"extract":[89],"knowledge":[90,111],"NIST":[92,163],"8259":[93],"creating":[95],"semantically":[96],"rich":[97],"ontology":[98,101],"mappings.":[99],"Our":[100],"captures":[102],"key":[103],"rules,":[105],"are":[107],"stored":[108],"graph":[112],"(KG)":[113],"that":[114,158,177],"allows":[115],"crosscheck":[118],"update":[120],"policy":[122],"documents":[123],"ease.":[125],"The":[126],"KG":[127],"also":[128,175],"enables":[129],"real-time":[130],"querying":[131],"using":[132],"SPARQL":[133],"offers":[135],"transparent":[137],"view":[138],"regulatory":[140],"adherence":[141],"manufacturers":[144],"users.":[146],"By":[147],"automating":[148],"process":[150],"verifying":[152],"compliance,":[154],"framework":[156,188],"ensures":[157],"companies":[159],"remain":[160],"aligned":[161],"standards,":[164],"eliminating":[165],"manual":[166],"checks":[167],"reducing":[169],"risk":[171],"non-compliance.":[173],"We":[174],"demonstrate":[176],"compared":[178],"baseline":[181],"Large":[182],"Language":[183],"Models":[184],"(LLMs),":[185],"our":[186],"proposed":[187],"more":[190,195],"accuracy,":[192],"is":[194],"efficient":[196],"scalable.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4}],"updated_date":"2026-03-05T09:29:38.588285","created_date":"2025-10-10T00:00:00"}