{"id":"https://openalex.org/W4411996193","doi":"https://doi.org/10.1109/icict64582.2025.00033","title":"Deepfake Detection for Enhanced Security in Workplace Environments Using Deep Learning Techniques","display_name":"Deepfake Detection for Enhanced Security in Workplace Environments Using Deep Learning Techniques","publication_year":2025,"publication_date":"2025-03-14","ids":{"openalex":"https://openalex.org/W4411996193","doi":"https://doi.org/10.1109/icict64582.2025.00033"},"language":"en","primary_location":{"id":"doi:10.1109/icict64582.2025.00033","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icict64582.2025.00033","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 8th International Conference on Information and Computer Technologies (ICICT)","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/A5100781876","display_name":"Md. Asaduzzaman","orcid":"https://orcid.org/0000-0001-5516-4262"},"institutions":[{"id":"https://openalex.org/I200606013","display_name":"Daffodil International University","ror":"https://ror.org/052t4a858","country_code":"BD","type":"education","lineage":["https://openalex.org/I200606013"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Md Asaduzzaman","raw_affiliation_strings":["Daffodil International University,Department of Software Engineering,Dhaka,Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Daffodil International University,Department of Software Engineering,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I200606013"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101974080","display_name":"Md. Maruf Hassan","orcid":"https://orcid.org/0000-0002-4475-2664"},"institutions":[{"id":"https://openalex.org/I4210090971","display_name":"Southeast University","ror":"https://ror.org/00cf0ab87","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210090971"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Md Maruf Hassan","raw_affiliation_strings":["Southeast University,Dept. of Computer Science &#x0026; Engineering,Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University,Dept. of Computer Science &#x0026; Engineering,Bangladesh","institution_ids":["https://openalex.org/I4210090971"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049525793","display_name":"Touhid Bhuiyan","orcid":"https://orcid.org/0000-0002-6747-0846"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Touhid Bhuiyan","raw_affiliation_strings":["School of IT, Washington University of Science &#x0026; Technology,Virginia,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of IT, Washington University of Science &#x0026; Technology,Virginia,USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"173","last_page":"179"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9667999744415283,"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":0.9667999744415283,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9613999724388123,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7090059518814087},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.500786304473877},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44418591260910034},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.36421602964401245}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7090059518814087},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.500786304473877},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44418591260910034},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.36421602964401245}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icict64582.2025.00033","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icict64582.2025.00033","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 8th International Conference on Information and Computer Technologies (ICICT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.4699999988079071,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W3041855661","https://openalex.org/W3080632971","https://openalex.org/W3090786680","https://openalex.org/W4282920965","https://openalex.org/W4286742149","https://openalex.org/W4312955641","https://openalex.org/W4313404355","https://openalex.org/W4365145339","https://openalex.org/W4379054129","https://openalex.org/W4384432973","https://openalex.org/W4386963029","https://openalex.org/W4388738500","https://openalex.org/W4391546028","https://openalex.org/W4396981174","https://openalex.org/W4401618751","https://openalex.org/W4402264364","https://openalex.org/W4403018661","https://openalex.org/W4404069441","https://openalex.org/W6786432633","https://openalex.org/W6989221677"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4360585206","https://openalex.org/W4321369474","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W3086377361"],"abstract_inverted_index":{"Deepfake":[0],"technology's":[1],"widespread":[2],"use":[3,33],"poses":[4],"serious":[5],"risks":[6],"to":[7,45,51,58,125],"workplace":[8,196],"security":[9],"by":[10],"eroding":[11],"confidence":[12],"and":[13,25,43,62,76,82,106,127,135,146,181,190],"making":[14],"it":[15,97,123],"easier":[16],"for":[17,103,110,166,194],"nefarious":[18],"actions":[19],"including":[20,144],"identity":[21],"theft,":[22],"data":[23],"breaches,":[24],"disinformation.":[26],"Even":[27],"while":[28,177],"current":[29],"detection":[30,71,152],"techniques":[31],"make":[32],"of":[34,137,154,164],"sophisticated":[35],"deep":[36],"learning":[37,119],"models,":[38],"their":[39],"generalisability,":[40],"computing":[41,192],"efficiency,":[42],"resilience":[44],"hostile":[46],"attacks":[47],"sometimes":[48],"cause":[49],"them":[50],"fail":[52],"in":[53,168],"practical":[54],"applications.":[55,197],"In":[56],"order":[57],"improve":[59],"identification":[60],"accuracy":[61,153],"liveness":[63],"verification,":[64],"this":[65],"study":[66],"presents":[67],"a":[68,107,117,151,162],"unique":[69],"hybrid":[70],"framework":[72,115],"that":[73,121],"combines":[74],"face":[75],"speech":[77],"features":[78],"with":[79],"feature-level":[80],"fusion":[81],"multimodal":[83],"biometric":[84],"analysis.":[85,112],"The":[86],"suggested":[87],"system":[88,149],"is":[89],"excellent":[90],"at":[91],"identifying":[92],"subtle":[93],"deepfake":[94,129],"changes":[95],"because":[96],"integrates":[98],"convolutional":[99],"neural":[100],"networks":[101],"(CNNs)":[102],"feature":[104],"extraction":[105],"Bi-LSTM-based":[108],"classifier":[109],"temporal":[111],"Additionally,":[113],"the":[114,133,138,148],"uses":[116],"multi-task":[118],"approach":[120],"makes":[122],"possible":[124],"detect":[126],"locate":[128],"artefacts":[130],"simultaneously,":[131],"enhancing":[132],"performance":[134],"interpretability":[136],"model.":[139],"Tested":[140],"on":[141],"extensive":[142,195],"datasets,":[143],"DeepfakeTIMIT":[145],"AVSpeech,":[147],"obtained":[150],"98.7%,":[155],"exceeding":[156],"state-of-the-art":[157],"approaches.":[158],"This":[159],"strategy":[160],"shows":[161],"lot":[163],"promise":[165],"implementation":[167],"work":[169],"settings,":[170],"offering":[171],"strong":[172],"defence":[173],"against":[174],"new":[175],"threats":[176],"maintaining":[178],"user":[179],"privacy":[180],"operational":[182],"scalability.":[183],"Future":[184],"research":[185],"will":[186],"examine":[187],"real-time":[188],"deployment":[189],"edge":[191],"technologies":[193]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
