{"id":"https://openalex.org/W4318148384","doi":"https://doi.org/10.1109/bigdata55660.2022.10020235","title":"Continuous and Silent User Authentication Through Mouse Dynamics and Explainable Deep Learning: A Proposal","display_name":"Continuous and Silent User Authentication Through Mouse Dynamics and Explainable Deep Learning: A Proposal","publication_year":2022,"publication_date":"2022-12-17","ids":{"openalex":"https://openalex.org/W4318148384","doi":"https://doi.org/10.1109/bigdata55660.2022.10020235"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata55660.2022.10020235","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata55660.2022.10020235","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 IEEE International Conference on Big Data (Big Data)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Big Data (Big Data)","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/A5007424361","display_name":"Giovanni Ciaramella","orcid":"https://orcid.org/0009-0002-9512-0621"},"institutions":[{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"funder","lineage":["https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210130157","display_name":"Institute of Informatics and Telematics","ror":"https://ror.org/02gdcn153","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210130157","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Giovanni Ciaramella","raw_affiliation_strings":["National Research Council of Italy (CNR),Institute for Informatics and Telematics,Pisa,Italy","Institute for Informatics and Telematics, National Research Council of Italy (CNR), Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"National Research Council of Italy (CNR),Institute for Informatics and Telematics,Pisa,Italy","institution_ids":["https://openalex.org/I4210130157","https://openalex.org/I4210155236"]},{"raw_affiliation_string":"Institute for Informatics and Telematics, National Research Council of Italy (CNR), Pisa, Italy","institution_ids":["https://openalex.org/I4210130157","https://openalex.org/I4210155236"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080298186","display_name":"Giacomo Iadarola","orcid":"https://orcid.org/0000-0001-7060-6233"},"institutions":[{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"funder","lineage":["https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210130157","display_name":"Institute of Informatics and Telematics","ror":"https://ror.org/02gdcn153","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210130157","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giacomo Iadarola","raw_affiliation_strings":["National Research Council of Italy (CNR),Institute for Informatics and Telematics,Pisa,Italy","Institute for Informatics and Telematics, National Research Council of Italy (CNR), Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"National Research Council of Italy (CNR),Institute for Informatics and Telematics,Pisa,Italy","institution_ids":["https://openalex.org/I4210130157","https://openalex.org/I4210155236"]},{"raw_affiliation_string":"Institute for Informatics and Telematics, National Research Council of Italy (CNR), Pisa, Italy","institution_ids":["https://openalex.org/I4210130157","https://openalex.org/I4210155236"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101546784","display_name":"Fabio Martinelli","orcid":"https://orcid.org/0000-0002-6721-9395"},"institutions":[{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"funder","lineage":["https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210130157","display_name":"Institute of Informatics and Telematics","ror":"https://ror.org/02gdcn153","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210130157","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fabio Martinelli","raw_affiliation_strings":["National Research Council of Italy (CNR),Institute for Informatics and Telematics,Pisa,Italy","Institute for Informatics and Telematics, National Research Council of Italy (CNR), Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"National Research Council of Italy (CNR),Institute for Informatics and Telematics,Pisa,Italy","institution_ids":["https://openalex.org/I4210130157","https://openalex.org/I4210155236"]},{"raw_affiliation_string":"Institute for Informatics and Telematics, National Research Council of Italy (CNR), Pisa, Italy","institution_ids":["https://openalex.org/I4210130157","https://openalex.org/I4210155236"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023695406","display_name":"Francesco Mercaldo","orcid":"https://orcid.org/0000-0002-9425-1657"},"institutions":[{"id":"https://openalex.org/I4210130157","display_name":"Institute of Informatics and Telematics","ror":"https://ror.org/02gdcn153","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210130157","https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I129627893","display_name":"University of Molise","ror":"https://ror.org/04z08z627","country_code":"IT","type":"education","lineage":["https://openalex.org/I129627893"]},{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"funder","lineage":["https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Mercaldo","raw_affiliation_strings":["University of Molise,Campobasso,Italy","Institute for Informatics and Telematics, National Research Council of Italy (CNR), Pisa, Italy","University of Molise, Campobasso, Italy"],"affiliations":[{"raw_affiliation_string":"University of Molise,Campobasso,Italy","institution_ids":["https://openalex.org/I129627893"]},{"raw_affiliation_string":"Institute for Informatics and Telematics, National Research Council of Italy (CNR), Pisa, Italy","institution_ids":["https://openalex.org/I4210130157","https://openalex.org/I4210155236"]},{"raw_affiliation_string":"University of Molise, Campobasso, Italy","institution_ids":["https://openalex.org/I129627893"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004599844","display_name":"Antonella Santone","orcid":"https://orcid.org/0000-0002-2634-4456"},"institutions":[{"id":"https://openalex.org/I129627893","display_name":"University of Molise","ror":"https://ror.org/04z08z627","country_code":"IT","type":"education","lineage":["https://openalex.org/I129627893"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Antonella Santone","raw_affiliation_strings":["University of Molise,Campobasso,Italy","University of Molise, Campobasso, Italy"],"affiliations":[{"raw_affiliation_string":"University of Molise,Campobasso,Italy","institution_ids":["https://openalex.org/I129627893"]},{"raw_affiliation_string":"University of Molise, Campobasso, Italy","institution_ids":["https://openalex.org/I129627893"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5007424361"],"corresponding_institution_ids":["https://openalex.org/I4210130157","https://openalex.org/I4210155236"],"apc_list":null,"apc_paid":null,"fwci":0.4382,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.64421564,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"6628","last_page":"6630"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11800","display_name":"User Authentication and Security Systems","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11800","display_name":"User Authentication and Security Systems","score":0.9998999834060669,"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":0.9934999942779541,"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9868000149726868,"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/biometrics","display_name":"Biometrics","score":0.842674970626831},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8315491676330566},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.730043351650238},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.6006729602813721},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.587431013584137},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.552320659160614},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5445788502693176},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5136577486991882},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3979882299900055},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3503766655921936},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34289461374282837},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2603042721748352}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.842674970626831},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8315491676330566},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.730043351650238},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.6006729602813721},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.587431013584137},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.552320659160614},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5445788502693176},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5136577486991882},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3979882299900055},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3503766655921936},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34289461374282837},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2603042721748352},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata55660.2022.10020235","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata55660.2022.10020235","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 IEEE International Conference on Big Data (Big Data)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1553291715","https://openalex.org/W2038019800","https://openalex.org/W2151295171","https://openalex.org/W2766086869","https://openalex.org/W2964186248","https://openalex.org/W2978030724","https://openalex.org/W3006952925","https://openalex.org/W4293637505","https://openalex.org/W6633067813","https://openalex.org/W6745895101"],"related_works":["https://openalex.org/W4312200629","https://openalex.org/W4223943233","https://openalex.org/W4360585206","https://openalex.org/W4364306694","https://openalex.org/W4309045103","https://openalex.org/W4225161397","https://openalex.org/W3014300295","https://openalex.org/W3164822677","https://openalex.org/W4250304930","https://openalex.org/W2899781844"],"abstract_inverted_index":{"Over":[0],"the":[1,3,40,43,56,65,78,91,158,166,169,183,197],"years,":[2],"number":[4],"of":[5,14,18,42,64,77,125,131,168],"compromised":[6],"accounts":[7],"dramatically":[8],"increased.":[9],"To":[10],"avoid":[11],"this":[12,101],"type":[13],"attack":[15],"various":[16],"types":[17],"authentication":[19,112],"methods":[20],"were":[21,140],"introduced.":[22],"In":[23,100],"particular,":[24],"currently,":[25],"researchers":[26],"are":[27,172],"focusing":[28],"on":[29,114,191],"biometric-based":[30],"techniques":[31],"such":[32],"as":[33],"physical-biometric":[34],"and":[35,59,109,117,152,205],"behavior-biometric.":[36],"The":[37,137,186],"idea":[38],"at":[39],"bottom":[41],"last":[44],"technique":[45],"is":[46,70],"that":[47,196],"each":[48],"person":[49],"exhibits":[50],"a":[51,96,123,145,175],"unique":[52],"behavior.":[53],"Starting":[54],"from":[55],"touch":[57],"dynamics,":[58],"keyboard":[60],"dynamics":[61,116,133],"nowadays,":[62],"one":[63],"most":[66],"promising":[67,202],"investigation":[68],"areas":[69,167],"currently":[71],"represented":[72],"by":[73],"mouse":[74,115,132],"dynamics.":[75],"Because":[76],"simpler":[79],"technology":[80],"necessary":[81],"to":[82,143,148,163],"gather":[83],"biometric":[84],"data":[85],"without":[86],"employing":[87],"user":[88,111,207],"sensor":[89],"data,":[90],"latter":[92],"has":[93],"recently":[94],"been":[95],"popular":[97],"study":[98],"area.":[99],"paper,":[102],"we":[103],"propose":[104],"an":[105,128],"approach":[106],"for":[107,174],"continuous":[108,206],"silent":[110,204],"based":[113,190],"explainable":[118],"deep":[119],"learning.":[120],"We":[121,155],"build":[122],"set":[124],"images":[126,138,170],"using":[127],"existing":[129],"dataset":[130],"in":[134,203],"CSV":[135],"format.":[136],"obtained":[139],"then":[141],"used":[142],"train":[144],"deep-learning":[146],"model":[147,184],"discriminate":[149],"between":[150],"legitimate":[151],"malicious":[153],"users.":[154],"also":[156],"adopted":[157],"Gradient-weighted":[159],"Class":[160],"Activation":[161],"Mapping,":[162],"allow":[164],"highlighting":[165],"which":[171],"responsible":[173],"specific":[176],"legitimate/attack":[177],"prediction,":[178],"thus":[179],"providing":[180],"explainability":[181],"behind":[182],"classification.":[185],"preliminary":[187],"experimental":[188],"analysis":[189],"ten":[192],"different":[193],"users":[194],"shows":[195],"proposed":[198],"method":[199],"can":[200],"be":[201],"authentication.":[208]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2025-10-10T00:00:00"}