{"id":"https://openalex.org/W4408862554","doi":"https://doi.org/10.1109/icce63647.2025.10930022","title":"Enhancing Consumer Electronics Security in Smart Homes with t-SNE Feature Selection and Seagull Optimized Deep Learning Model","display_name":"Enhancing Consumer Electronics Security in Smart Homes with t-SNE Feature Selection and Seagull Optimized Deep Learning Model","publication_year":2025,"publication_date":"2025-01-11","ids":{"openalex":"https://openalex.org/W4408862554","doi":"https://doi.org/10.1109/icce63647.2025.10930022"},"language":"en","primary_location":{"id":"doi:10.1109/icce63647.2025.10930022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce63647.2025.10930022","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Consumer Electronics (ICCE)","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/A5042846465","display_name":"Akshat Gaurav","orcid":"https://orcid.org/0000-0002-5796-9424"},"institutions":[{"id":"https://openalex.org/I4210147267","display_name":"Ronin Institute","ror":"https://ror.org/04awze035","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210147267"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Akshat Gaurav","raw_affiliation_strings":["Ronin Institute,Montclair,NJ,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ronin Institute,Montclair,NJ,USA","institution_ids":["https://openalex.org/I4210147267"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071261948","display_name":"Brij B. Gupta","orcid":"https://orcid.org/0000-0003-4929-4698"},"institutions":[{"id":"https://openalex.org/I143578492","display_name":"Asia University","ror":"https://ror.org/038a1tp19","country_code":"TW","type":"education","lineage":["https://openalex.org/I143578492"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Brij B. Gupta","raw_affiliation_strings":["Asia University, Taichung 413, Taiwan, & University of Economics and Human Science,Department of Computer Science and Information Engineering,Warsaw,Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Asia University, Taichung 413, Taiwan, & University of Economics and Human Science,Department of Computer Science and Information Engineering,Warsaw,Poland","institution_ids":["https://openalex.org/I143578492"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086102702","display_name":"Kwok Tai Chui","orcid":"https://orcid.org/0000-0001-7992-9901"},"institutions":[{"id":"https://openalex.org/I8679417","display_name":"Hong Kong Metropolitan University","ror":"https://ror.org/0349bsm71","country_code":"HK","type":"education","lineage":["https://openalex.org/I8679417"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Kwok Tai Chui","raw_affiliation_strings":["Hong Kong Metropolitan University (HKMU),Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong Metropolitan University (HKMU),Hong Kong","institution_ids":["https://openalex.org/I8679417"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"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/T13243","display_name":"Innovation in Digital Healthcare Systems","score":0.7139000296592712,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T13243","display_name":"Innovation in Digital Healthcare Systems","score":0.7139000296592712,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T14484","display_name":"Technology and Data Analysis","score":0.6836000084877014,"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/T14250","display_name":"Energy and Environmental Systems","score":0.661899983882904,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6220959424972534},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5765542984008789},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5615604519844055},{"id":"https://openalex.org/keywords/electronics","display_name":"Electronics","score":0.5610264539718628},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.530220091342926},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4326176345348358},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39155182242393494},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.32857510447502136},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18514388799667358},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.11706462502479553}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6220959424972534},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5765542984008789},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5615604519844055},{"id":"https://openalex.org/C138331895","wikidata":"https://www.wikidata.org/wiki/Q11650","display_name":"Electronics","level":2,"score":0.5610264539718628},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.530220091342926},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4326176345348358},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39155182242393494},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.32857510447502136},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18514388799667358},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.11706462502479553},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce63647.2025.10930022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce63647.2025.10930022","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1987581808","https://openalex.org/W2889802698","https://openalex.org/W2902421512","https://openalex.org/W3120036043","https://openalex.org/W3125638441","https://openalex.org/W3176886883","https://openalex.org/W3185530968","https://openalex.org/W4200210046","https://openalex.org/W4213349859","https://openalex.org/W4310676095","https://openalex.org/W4311529065","https://openalex.org/W4313017920","https://openalex.org/W4376114825","https://openalex.org/W4383749230","https://openalex.org/W4385576176","https://openalex.org/W4387346713","https://openalex.org/W4387997191"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W2731899572","https://openalex.org/W4230611425","https://openalex.org/W4205762803","https://openalex.org/W4294635752","https://openalex.org/W4304166257","https://openalex.org/W4383066092","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"This":[0],"work":[1],"presents":[2,82],"a":[3,83,91,99],"t-SNE-based":[4],"feature":[5],"selection":[6],"and":[7,54,63,90],"Seagull":[8,24],"Optimized":[9,21],"Deep":[10],"Learning":[11],"Model":[12],"to":[13,69],"improve":[14],"consumer":[15],"electronics":[16],"security":[17,89],"in":[18,43,51,86,98],"smart":[19,87],"homes.":[20],"using":[22],"the":[23,28],"Optimization":[25],"Algorithm":[26],"(SOA),":[27],"suggested":[29],"Convolutional":[30],"Neural":[31],"Network":[32],"(CNN)":[33],"model":[34,48],"showed":[35],"exceptional":[36],"performance":[37],"with":[38],"an":[39],"accuracy":[40,53],"of":[41,77],"92%":[42],"identifying":[44],"cyber":[45],"risks.":[46],"The":[47],"routinely":[49],"exceeded":[50],"both":[52],"loss":[55],"measures":[56],"when":[57],"tested":[58],"against":[59],"conventional":[60],"machine":[61],"learning":[62,65],"deep":[64],"models.":[66],"T-SNE":[67],"helped":[68],"choose":[70],"important":[71],"criteria":[72],"that":[73],"provide":[74],"strong":[75],"identification":[76],"harmful":[78],"activity.":[79],"Our":[80],"method":[81],"major":[84],"development":[85],"home":[88],"dependable":[92],"instrument":[93],"for":[94],"reducing":[95],"cybersecurity":[96],"threats":[97],"linked":[100],"world.":[101]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}