{"id":"https://openalex.org/W3136500909","doi":"https://doi.org/10.1109/ccwc51732.2021.9376087","title":"Identifying User Authentication and Most Frequently Used Region Based on Mouse Movement Data: A Machine Learning Approach","display_name":"Identifying User Authentication and Most Frequently Used Region Based on Mouse Movement Data: A Machine Learning Approach","publication_year":2021,"publication_date":"2021-01-27","ids":{"openalex":"https://openalex.org/W3136500909","doi":"https://doi.org/10.1109/ccwc51732.2021.9376087","mag":"3136500909"},"language":"en","primary_location":{"id":"doi:10.1109/ccwc51732.2021.9376087","doi":"https://doi.org/10.1109/ccwc51732.2021.9376087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccwc51732.2021.9376087","pdf_url":null,"source":{"id":"https://openalex.org/S4363608098","display_name":"IEEE Annual Computing and Communication Workshop and Conference (CCWC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5025634486","display_name":"Md. Muhaimenur Rahman","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I46080048","display_name":"Jahangirnagar University","ror":"https://ror.org/04ywb0864","country_code":"BD","type":"education","lineage":["https://openalex.org/I46080048"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Md. Muhaimenur Rahman","raw_affiliation_strings":["Computer Science & Engineering, Jahangirnagar University, Savar, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science & Engineering, Jahangirnagar University, Savar, Bangladesh","institution_ids":["https://openalex.org/I46080048"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032799650","display_name":"Sarnali Basak","orcid":"https://orcid.org/0000-0003-3703-1428","observed_orcids":["https://orcid.org/0000-0003-3703-1428"]},"institutions":[{"id":"https://openalex.org/I46080048","display_name":"Jahangirnagar University","ror":"https://ror.org/04ywb0864","country_code":"BD","type":"education","lineage":["https://openalex.org/I46080048"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Sarnali Basak","raw_affiliation_strings":["Computer Science & Engineering, Jahangirnagar University, Savar, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science & Engineering, Jahangirnagar University, Savar, Bangladesh","institution_ids":["https://openalex.org/I46080048"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I46080048"],"apc_list":null,"apc_paid":null,"fwci":1.1783,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.78127395,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1245","last_page":"1250"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11800","display_name":"User Authentication and Security Systems","score":1.0,"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":1.0,"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/T10828","display_name":"Biometric Identification and Security","score":9.999999747378752e-05,"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/T11504","display_name":"Advanced Authentication Protocols Security","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/user-authentication","display_name":"user authentication","score":0.7910000085830688},{"id":"https://openalex.org/keywords/behavioral-biometrics","display_name":"behavioral biometrics","score":0.8550000190734863},{"id":"https://openalex.org/keywords/mouse-dynamics","display_name":"mouse dynamics","score":0.9150000214576721},{"id":"https://openalex.org/keywords/access-control","display_name":"access control","score":0.6639999747276306},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"feature extraction","score":0.7649999856948853},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":0.9100000262260437}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.835002064704895},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.7979903817176819},{"id":"https://openalex.org/C109297577","wikidata":"https://www.wikidata.org/wiki/Q161157","display_name":"Password","level":2,"score":0.7843936681747437},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.6285737752914429},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5887623429298401},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5399596095085144},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4992969036102295},{"id":"https://openalex.org/C83804111","wikidata":"https://www.wikidata.org/wiki/Q1063558","display_name":"Behavioral pattern","level":2,"score":0.418912798166275},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40408092737197876},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3390875458717346},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.21699270606040955},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccwc51732.2021.9376087","doi":"https://doi.org/10.1109/ccwc51732.2021.9376087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccwc51732.2021.9376087","pdf_url":null,"source":{"id":"https://openalex.org/S4363608098","display_name":"IEEE Annual Computing and Communication Workshop and Conference (CCWC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W812309224","https://openalex.org/W1971565662","https://openalex.org/W1981157808","https://openalex.org/W1982112776","https://openalex.org/W2006720960","https://openalex.org/W2009889303","https://openalex.org/W2030390520","https://openalex.org/W2035383614","https://openalex.org/W2054177909","https://openalex.org/W2093197020","https://openalex.org/W2126453598","https://openalex.org/W2133742106","https://openalex.org/W2140177734","https://openalex.org/W2144862309","https://openalex.org/W2158725234","https://openalex.org/W2165485672","https://openalex.org/W2170979474","https://openalex.org/W2185880594","https://openalex.org/W2371352231","https://openalex.org/W2373917819","https://openalex.org/W2472173056","https://openalex.org/W2589657180","https://openalex.org/W2624834976","https://openalex.org/W2727510510","https://openalex.org/W2734395796","https://openalex.org/W2767145233","https://openalex.org/W2786036852","https://openalex.org/W2954220621","https://openalex.org/W4285719527","https://openalex.org/W6708604987","https://openalex.org/W6740282364"],"related_works":["https://openalex.org/W1982112776","https://openalex.org/W2922206555","https://openalex.org/W7098695824","https://openalex.org/W3138009052","https://openalex.org/W2624834976","https://openalex.org/W197879029","https://openalex.org/W3167467482","https://openalex.org/W4211200055","https://openalex.org/W3206755706","https://openalex.org/W2727134960"],"abstract_inverted_index":{"User":[0],"authentication":[1,86],"in":[2,189],"computer":[3],"demands":[4],"a":[5,43,62,69],"reliable,":[6],"highly":[7],"secure":[8],"and":[9,58,94,128,148,168],"fast":[10],"system":[11],"so":[12],"that":[13,88],"it":[14],"can":[15],"address":[16],"many":[17],"severe":[18],"attacks,":[19],"which":[20],"are":[21,103,126],"unable":[22],"to":[23,36,109,119,177],"handle":[24],"by":[25,157],"the":[26,74,82,90,106,112,121,123,149,152,179,183,190],"conventional":[27],"password":[28],"system.":[29],"Several":[30],"behavioral":[31,49],"biometrics":[32,50],"has":[33],"already":[34],"progressed":[35],"overcome":[37],"these":[38],"problems.":[39],"Mouse-operating":[40],"behavior":[41],"of":[42,66,98,151,166,182],"user":[44,70],"is":[45,155,175],"prevalent":[46],"as":[47],"powerful":[48],"for":[51],"access":[52],"control.":[53],"It":[54],"requires":[55],"detecting":[56],"authorized":[57],"unauthorized":[59],"users":[60],"within":[61],"very":[63],"short":[64],"period":[65],"time":[67],"while":[68],"interacts":[71],"initially":[72],"with":[73,186],"computer.":[75],"In":[76,117],"this":[77],"correspondence":[78],"paper,":[79],"we":[80],"present":[81],"mouse":[83,99],"dynamics":[84],"biometric":[85],"approach":[87,185],"shows":[89],"performance":[91],"from":[92,105],"five":[93],"ten":[95],"second's":[96],"data":[97],"movements.":[100],"The":[101,137],"features":[102,125],"extracted":[104,124],"given":[107],"dataset":[108],"find":[110],"out":[111],"most":[113],"frequently":[114],"used":[115],"regions.":[116],"order":[118],"identify":[120],"accuracy,":[122],"evaluated":[127,156],"accomplish":[129],"accuracy":[130],"using":[131],"5":[132],"machine":[133],"learning":[134],"classification":[135,170],"algorithms.":[136],"extensive":[138],"experimental":[139],"result":[140],"proves,":[141],"random":[142],"forest":[143],"algorithm":[144],"outperforms":[145],"than":[146],"others":[147],"efficacy":[150],"proposed":[153,184],"method":[154],"False":[158,163],"Positive":[159],"Rate":[160,165],"achieves":[161],"1.74%,":[162],"Negative":[164],"29.23%":[167],"87.23%":[169],"accuracy.":[171],"An":[172],"additional":[173],"experiment":[174],"carried":[176],"compare":[178],"notable":[180],"improvement":[181],"other":[187],"methods":[188],"literature.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2021-03-29T00:00:00"}
