{"id":"https://openalex.org/W4406495786","doi":"https://doi.org/10.1109/bigdata62323.2024.10825552","title":"AI-Driven Genetic Algorithms for Enhanced Numeric Feature Quantization in IoT Device Fingerprinting for Threat Detection","display_name":"AI-Driven Genetic Algorithms for Enhanced Numeric Feature Quantization in IoT Device Fingerprinting for Threat Detection","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406495786","doi":"https://doi.org/10.1109/bigdata62323.2024.10825552"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10825552","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825552","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/A5020394413","display_name":"Ahmet Aksoy","orcid":"https://orcid.org/0000-0002-8206-0706"},"institutions":[{"id":"https://openalex.org/I28324025","display_name":"University of Central Missouri","ror":"https://ror.org/02c63wv67","country_code":"US","type":"education","lineage":["https://openalex.org/I28324025"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ahmet Aksoy","raw_affiliation_strings":["University of Central Missouri,Department of Computer Science and Cybersecurity,Warrensburg,MO,64093"],"affiliations":[{"raw_affiliation_string":"University of Central Missouri,Department of Computer Science and Cybersecurity,Warrensburg,MO,64093","institution_ids":["https://openalex.org/I28324025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091148893","display_name":"Sundeep Varma","orcid":null},"institutions":[{"id":"https://openalex.org/I28324025","display_name":"University of Central Missouri","ror":"https://ror.org/02c63wv67","country_code":"US","type":"education","lineage":["https://openalex.org/I28324025"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sundeep Varma","raw_affiliation_strings":["University of Central Missouri,Department of Computer Science and Cybersecurity,Warrensburg,MO,64093"],"affiliations":[{"raw_affiliation_string":"University of Central Missouri,Department of Computer Science and Cybersecurity,Warrensburg,MO,64093","institution_ids":["https://openalex.org/I28324025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5020394413"],"corresponding_institution_ids":["https://openalex.org/I28324025"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24007,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2568","last_page":"2574"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9933000206947327,"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":0.9933000206947327,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9914000034332275,"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"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.7564750909805298},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.6876184940338135},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.5556855201721191},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4961646497249603},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4229966402053833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3810400664806366},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3750479519367218},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.17327454686164856}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7564750909805298},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.6876184940338135},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.5556855201721191},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4961646497249603},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4229966402053833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3810400664806366},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3750479519367218},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.17327454686164856},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10825552","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825552","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":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1983278481","https://openalex.org/W1996344812","https://openalex.org/W2035364453","https://openalex.org/W2051663450","https://openalex.org/W2078888611","https://openalex.org/W2123496439","https://openalex.org/W2125829992","https://openalex.org/W2147163628","https://openalex.org/W2246117442","https://openalex.org/W2337604286","https://openalex.org/W2533723556","https://openalex.org/W2563273794","https://openalex.org/W2574448563","https://openalex.org/W2730209706","https://openalex.org/W2751343396","https://openalex.org/W2961816263","https://openalex.org/W3003375689","https://openalex.org/W4390773712","https://openalex.org/W6629524525","https://openalex.org/W6780373310"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W4245926026","https://openalex.org/W2073681303","https://openalex.org/W4311097251","https://openalex.org/W2586548817","https://openalex.org/W2625093826","https://openalex.org/W4200598720","https://openalex.org/W2921026492","https://openalex.org/W4247463117","https://openalex.org/W4361251261"],"abstract_inverted_index":{"Detecting":[0],"malicious":[1],"IoT":[2,227],"devices":[3,23],"within":[4],"a":[5,8,36,44],"network":[6,30],"is":[7,24,35,52,197],"crucial":[9],"step":[10],"in":[11,20,54,149,238],"ensuring":[12],"the":[13,69,96,107,122,131,137,142,147,151,158,174,207,218,235],"overall":[14],"security":[15],"of":[16,47,118,160,209,240],"hosts.":[17],"One":[18],"challenge":[19],"identifying":[21,121],"such":[22],"classifying":[25,187],"numerical":[26,41],"features":[27,101],"extracted":[28],"from":[29,141],"packets.":[31],"Numeric":[32],"feature":[33],"quantization":[34,97],"technique":[37],"that":[38,192,211],"discretizes":[39],"continuous":[40],"variables":[42],"into":[43],"finite":[45],"set":[46],"representative":[48],"values.":[49],"This":[50,177],"process":[51,144],"essential":[53],"machine":[55,75,247],"learning":[56,76,171,180,248],"applications":[57],"for":[58,99,126,186,217],"dimensionality":[59],"reduction":[60,65],"to":[61,66,73,79,94,145,225,244],"enhance":[62],"efficiency,":[63],"noise":[64],"smooth":[67],"out":[68],"data,":[70],"and":[71,106,200],"generalization":[72],"induce":[74],"rules":[77,185,210],"applicable":[78],"broader":[80],"datasets.":[81],"In":[82],"this":[83],"paper,":[84],"we":[85,129,167],"introduce":[86],"SILEA2":[87],"algorithm":[88,172,181],"which":[89,150],"employs":[90],"an":[91,203],"automated":[92,204],"approach":[93,205,224,231],"determining":[95,157],"levels":[98],"numeric":[100,114],"using":[102],"genetic":[103],"algorithms":[104],"(GA)":[105],"k-means":[108,132,195],"algorithm.":[109,176],"GA":[110,143,190],"helps":[111],"determine":[112],"each":[113,127,161,193],"feature\u2019s":[115,194],"optimal":[116,123],"number":[117],"clusters.":[119],"After":[120],"cluster":[124,138],"count":[125],"feature,":[128],"implement":[130],"algorithm,":[133],"initializing":[134],"it":[135],"with":[136,234],"numbers":[139],"derived":[140],"detect":[146],"buckets":[148],"contiguous":[152],"values":[153],"are":[154,212],"placed.":[155],"When":[156],"fitness":[159],"potential":[162],"solution":[163],"generated":[164],"by":[165],"GA,":[166],"utilize":[168],"SILEA":[169],"inductive":[170,179],"as":[173,213,215],"backbone":[175],"covering-method":[178],"efficiently":[182],"extracts":[183],"IF-THEN":[184],"data":[188],"points.":[189],"ensures":[191],"clustering":[196],"more":[198],"tailored":[199],"accurate.":[201],"Such":[202],"allows":[206],"generation":[208],"accuracy-gaining":[214],"possible":[216],"dataset":[219],"considered.":[220],"We":[221],"tested":[222],"our":[223],"perform":[226],"device":[228],"fingerprinting.":[229],"Our":[230],"consistently":[232],"performed":[233],"highest":[236],"accuracy":[237],"17":[239],"23":[241],"classifiers":[242],"compared":[243],"various":[245],"state-of-the-art":[246],"algorithms.":[249]},"counts_by_year":[],"updated_date":"2026-02-20T08:17:22.645390","created_date":"2025-10-10T00:00:00"}