{"id":"https://openalex.org/W7125599258","doi":"https://doi.org/10.1109/metroxraine66377.2025.11340070","title":"Touch Dynamics and Continuous Authentication: Towards Mobile Security with New Innovative Algorithms and Features","display_name":"Touch Dynamics and Continuous Authentication: Towards Mobile Security with New Innovative Algorithms and Features","publication_year":2025,"publication_date":"2025-10-22","ids":{"openalex":"https://openalex.org/W7125599258","doi":"https://doi.org/10.1109/metroxraine66377.2025.11340070"},"language":null,"primary_location":{"id":"doi:10.1109/metroxraine66377.2025.11340070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroxraine66377.2025.11340070","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 Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)","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/A5010904036","display_name":"Stefania Bello","orcid":"https://orcid.org/0009-0002-7714-0178"},"institutions":[{"id":"https://openalex.org/I5561750","display_name":"University of Bari Aldo Moro","ror":"https://ror.org/027ynra39","country_code":"IT","type":"education","lineage":["https://openalex.org/I5561750"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Stefania Bello","raw_affiliation_strings":["University of Bari &#x201C;Aldo Moro&#x201D;,Department of Computer Science,Bari,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bari &#x201C;Aldo Moro&#x201D;,Department of Computer Science,Bari,Italy","institution_ids":["https://openalex.org/I5561750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019105782","display_name":"Vincenzo Gattulli","orcid":"https://orcid.org/0000-0001-9974-9414"},"institutions":[{"id":"https://openalex.org/I5561750","display_name":"University of Bari Aldo Moro","ror":"https://ror.org/027ynra39","country_code":"IT","type":"education","lineage":["https://openalex.org/I5561750"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Vincenzo Gattulli","raw_affiliation_strings":["University of Bari &#x201C;Aldo Moro&#x201D;,Department of Computer Science,Bari,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bari &#x201C;Aldo Moro&#x201D;,Department of Computer Science,Bari,Italy","institution_ids":["https://openalex.org/I5561750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000811181","display_name":"Donato Impedovo","orcid":"https://orcid.org/0000-0002-9285-2555"},"institutions":[{"id":"https://openalex.org/I5561750","display_name":"University of Bari Aldo Moro","ror":"https://ror.org/027ynra39","country_code":"IT","type":"education","lineage":["https://openalex.org/I5561750"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Donato Impedovo","raw_affiliation_strings":["University of Bari &#x201C;Aldo Moro&#x201D;,Department of Computer Science,Bari,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bari &#x201C;Aldo Moro&#x201D;,Department of Computer Science,Bari,Italy","institution_ids":["https://openalex.org/I5561750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I5561750"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.76093356,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"79","last_page":"84"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11800","display_name":"User Authentication and Security Systems","score":0.9914000034332275,"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":0.9914000034332275,"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":0.0031999999191612005,"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/T10789","display_name":"Interactive and Immersive Displays","score":0.0013000000035390258,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/mobile-device","display_name":"Mobile device","score":0.6134999990463257},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6029000282287598},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.5867000222206116},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.5781000256538391},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.4088999927043915},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.40790000557899475},{"id":"https://openalex.org/keywords/keystroke-dynamics","display_name":"Keystroke dynamics","score":0.3953000009059906},{"id":"https://openalex.org/keywords/mobile-computing","display_name":"Mobile computing","score":0.37439998984336853},{"id":"https://openalex.org/keywords/login","display_name":"Login","score":0.37310001254081726}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7620999813079834},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.6134999990463257},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6029000282287598},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.5867000222206116},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.5781000256538391},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4950999915599823},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.460099995136261},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.41449999809265137},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.4088999927043915},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.40790000557899475},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4059000015258789},{"id":"https://openalex.org/C79540074","wikidata":"https://www.wikidata.org/wiki/Q3269465","display_name":"Keystroke dynamics","level":4,"score":0.3953000009059906},{"id":"https://openalex.org/C144543869","wikidata":"https://www.wikidata.org/wiki/Q2738570","display_name":"Mobile computing","level":2,"score":0.37439998984336853},{"id":"https://openalex.org/C113324615","wikidata":"https://www.wikidata.org/wiki/Q472302","display_name":"Login","level":2,"score":0.37310001254081726},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.3434000015258789},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.30709999799728394},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2892000079154968},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2800999879837036},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.27869999408721924},{"id":"https://openalex.org/C201025465","wikidata":"https://www.wikidata.org/wiki/Q11248500","display_name":"User experience design","level":2,"score":0.27300000190734863},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.2703999876976013},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.2653000056743622},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.26010000705718994},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2596000134944916},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.25949999690055847},{"id":"https://openalex.org/C95491727","wikidata":"https://www.wikidata.org/wiki/Q992968","display_name":"Mobile telephony","level":3,"score":0.25679999589920044},{"id":"https://openalex.org/C94966114","wikidata":"https://www.wikidata.org/wiki/Q29256","display_name":"Black box","level":2,"score":0.25600001215934753},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.25459998846054077},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2542000114917755}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/metroxraine66377.2025.11340070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroxraine66377.2025.11340070","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 Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2295638584","https://openalex.org/W2772554154","https://openalex.org/W2790381848","https://openalex.org/W3014370958","https://openalex.org/W3208964527","https://openalex.org/W4220774629","https://openalex.org/W4226525886","https://openalex.org/W4281482504","https://openalex.org/W4308564936","https://openalex.org/W4312613760","https://openalex.org/W4352981182","https://openalex.org/W4382203149","https://openalex.org/W4386211365","https://openalex.org/W4386952744","https://openalex.org/W4391179618"],"related_works":[],"abstract_inverted_index":{"The":[0,180],"popularity":[1],"of":[2,9,52,78,150,177],"mobile":[3,25,128,193],"devices":[4],"has":[5,16],"made":[6],"the":[7,50,53,58,76,148,151,175,185,197,205],"adoption":[8],"security":[10],"techniques":[11],"essential.":[12],"Recently,":[13],"Continuous":[14],"Authentication":[15],"been":[17],"proven":[18],"to":[19,74,88,202],"be":[20],"effective":[21],"and":[22,62,98,143,157,169,207],"reliable":[23],"in":[24,40,44,191,211],"security.":[26],"In":[27],"this":[28,83,85,209],"context,":[29],"Touch":[30,72,187],"Dynamics":[31,73,188],"can":[32,189],"provide":[33],"additional":[34,90],"information":[35],"that":[36,155],"is":[37],"extremely":[38],"helpful":[39],"distinguishing":[41],"users.":[42,110],"It,":[43],"fact,":[45],"allows":[46],"user":[47,68],"identification":[48],"through":[49],"analysis":[51],"way":[54,198],"they":[55,103],"interact":[56],"with":[57,135,163,174],"screen,":[59],"i.e.,":[60,139],"touches":[61],"gestures.":[63],"This":[64],"study":[65,181],"proposes":[66],"continuous":[67],"verification":[69],"based":[70],"on":[71,115,127,166],"overcome":[75],"limitation":[77],"one-time":[79],"login":[80],"authentication.":[81],"For":[82],"purpose,":[84],"work":[86],"aims":[87],"propose":[89],"Machine":[91],"Learning":[92],"models":[93,112,206],"(namely,":[94],"LightGBM,":[95],"Logistic":[96,158],"Regression":[97,159],"Convolutional":[99],"Neural":[100],"Network),":[101],"proving":[102],"better":[104],"distinguish":[105],"genuine":[106],"users":[107],"from":[108,120],"malicious":[109],"These":[111],"were":[113],"evaluated":[114],"both":[116],"existing":[117],"data,":[118],"collected":[119],"real":[121],"users'":[122],"interactions":[123],"during":[124],"game":[125],"sessions":[126],"devices,":[129],"as":[130,132],"well":[131],"data":[133,168],"enriched":[134],"new":[136,178],"potential":[137],"features,":[138],"Movement":[140],"Energy,":[141],"Curvature,":[142],"Direction,":[144],"which":[145],"significantly":[146],"improved":[147],"performance":[149],"models.":[152],"Results":[153],"show":[154],"LightGBM":[156],"achieve":[160],"promising":[161],"performances,":[162],"89%":[164],"accuracy":[165,170],"original":[167],"greater":[171],"than":[172],"90%":[173],"use":[176],"features.":[179],"emphasizes,":[182],"once":[183],"more,":[184],"role":[186],"play":[190],"strengthening":[192],"device":[194],"security,":[195],"paving":[196],"for":[199],"future":[200],"research":[201],"further":[203],"optimize":[204],"apply":[208],"technology":[210],"real-world":[212],"scenarios.":[213]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2026-01-25T00:00:00"}
