{"id":"https://openalex.org/W3045731943","doi":"https://doi.org/10.1109/iwcmc48107.2020.9148499","title":"Continuous Authentication of Mouse Dynamics Based on Decision Level Fusion","display_name":"Continuous Authentication of Mouse Dynamics Based on Decision Level Fusion","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3045731943","doi":"https://doi.org/10.1109/iwcmc48107.2020.9148499","mag":"3045731943"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc48107.2020.9148499","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc48107.2020.9148499","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Wireless Communications and Mobile Computing (IWCMC)","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/A5027505018","display_name":"Lifang Gao","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Lifang Gao","raw_affiliation_strings":["STATE GRID HEBEI INFORMATION & TELECOMMUNICATION BRANCH, Shijiazhuang, China"],"affiliations":[{"raw_affiliation_string":"STATE GRID HEBEI INFORMATION & TELECOMMUNICATION BRANCH, Shijiazhuang, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089745422","display_name":"Yangyang Lian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yangyang Lian","raw_affiliation_strings":["STATE GRID HEBEI INFORMATION & TELECOMMUNICATION BRANCH, Shijiazhuang, China"],"affiliations":[{"raw_affiliation_string":"STATE GRID HEBEI INFORMATION & TELECOMMUNICATION BRANCH, Shijiazhuang, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100302337","display_name":"Huifeng Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huifeng Yang","raw_affiliation_strings":["STATE GRID HEBEI INFORMATION & TELECOMMUNICATION BRANCH, Shijiazhuang, China"],"affiliations":[{"raw_affiliation_string":"STATE GRID HEBEI INFORMATION & TELECOMMUNICATION BRANCH, Shijiazhuang, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102971726","display_name":"Rui Xin","orcid":"https://orcid.org/0000-0002-8452-3233"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rui Xin","raw_affiliation_strings":["STATE GRID HEBEI INFORMATION & TELECOMMUNICATION BRANCH, Shijiazhuang, China"],"affiliations":[{"raw_affiliation_string":"STATE GRID HEBEI INFORMATION & TELECOMMUNICATION BRANCH, Shijiazhuang, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075243644","display_name":"Zhuozhi Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuozhi Yu","raw_affiliation_strings":["Beijing Fibrlink Communications Co., Ltd, State Grid Information & Telecommunication Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Fibrlink Communications Co., Ltd, State Grid Information & Telecommunication Group, Beijing, China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101622535","display_name":"Wenwei Chen","orcid":"https://orcid.org/0000-0002-6703-7663"},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenwei Chen","raw_affiliation_strings":["Beijing Fibrlink Communications Co., Ltd, State Grid Information & Telecommunication Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Fibrlink Communications Co., Ltd, State Grid Information & Telecommunication Group, Beijing, China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100431679","display_name":"Wei Liu","orcid":"https://orcid.org/0000-0001-8078-1879"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Liu","raw_affiliation_strings":["STATE GRID HEBEI INFORMATION & TELECOMMUNICATION BRANCH, Shijiazhuang, China"],"affiliations":[{"raw_affiliation_string":"STATE GRID HEBEI INFORMATION & TELECOMMUNICATION BRANCH, Shijiazhuang, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009094087","display_name":"Yefeng Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yefeng Zhang","raw_affiliation_strings":["Beijing Fibrlink Communications Co., Ltd, State Grid Information & Telecommunication Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Fibrlink Communications Co., Ltd, State Grid Information & Telecommunication Group, Beijing, China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006455453","display_name":"Yukun Zhu","orcid":"https://orcid.org/0000-0003-3838-0283"},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yukun Zhu","raw_affiliation_strings":["Beijing Fibrlink Communications Co., Ltd, State Grid Information & Telecommunication Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Fibrlink Communications Co., Ltd, State Grid Information & Telecommunication Group, Beijing, China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045072935","display_name":"Siya Xu","orcid":"https://orcid.org/0000-0001-6124-0030"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siya Xu","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047467022","display_name":"Shaoyong Guo","orcid":"https://orcid.org/0000-0003-2033-8431"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoyong Guo","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011348253","display_name":"Yanjin Cheng","orcid":"https://orcid.org/0009-0000-1086-5460"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanjin Cheng","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":12,"corresponding_author_ids":["https://openalex.org/A5027505018"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8683,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.89188544,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"210","last_page":"214"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11800","display_name":"User Authentication and Security Systems","score":0.9983000159263611,"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":0.9983000159263611,"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":0.9650999903678894,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9613999724388123,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8103127479553223},{"id":"https://openalex.org/keywords/password","display_name":"Password","score":0.7564002275466919},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.6695743799209595},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.5683266520500183},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5474780201911926},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5134419202804565},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.49477308988571167},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4123006761074066},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.410759299993515},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36145302653312683},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3565834164619446},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32808274030685425},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2741873860359192}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8103127479553223},{"id":"https://openalex.org/C109297577","wikidata":"https://www.wikidata.org/wiki/Q161157","display_name":"Password","level":2,"score":0.7564002275466919},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.6695743799209595},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.5683266520500183},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5474780201911926},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5134419202804565},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.49477308988571167},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4123006761074066},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.410759299993515},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36145302653312683},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3565834164619446},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32808274030685425},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2741873860359192}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwcmc48107.2020.9148499","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc48107.2020.9148499","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Wireless Communications and Mobile Computing (IWCMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1966864883","https://openalex.org/W2037866349","https://openalex.org/W2054177909","https://openalex.org/W2083385180","https://openalex.org/W2107754491","https://openalex.org/W2122044789","https://openalex.org/W2140095548","https://openalex.org/W2169360434","https://openalex.org/W2539318522","https://openalex.org/W2576483229","https://openalex.org/W2588062372","https://openalex.org/W2610544804","https://openalex.org/W2728779162","https://openalex.org/W2922206555","https://openalex.org/W2945920325","https://openalex.org/W2964186248","https://openalex.org/W6671562767","https://openalex.org/W6728870350"],"related_works":["https://openalex.org/W143386018","https://openalex.org/W1004582678","https://openalex.org/W2656445685","https://openalex.org/W2115218409","https://openalex.org/W2090949570","https://openalex.org/W2263162522","https://openalex.org/W2134080857","https://openalex.org/W1989237518","https://openalex.org/W2002093701","https://openalex.org/W1485853333"],"abstract_inverted_index":{"The":[0],"demand":[1],"for":[2],"information":[3,23],"security":[4],"is":[5,17,27,41,90,108,142],"growing":[6],"with":[7],"the":[8,11,14,28,39,59,88,105,112,122,145,150],"changes":[9],"of":[10,61,84,104],"times,":[12],"and":[13,63,86,130],"authentication":[15,26,32,54,65],"system":[16],"an":[18],"important":[19],"gateway":[20],"to":[21,43,48,52,75,135],"ensure":[22],"security.":[24],"Password":[25],"most":[29],"commonly":[30],"used":[31],"method":[33,103],"in":[34],"modern":[35],"network.":[36],"However,":[37],"because":[38],"password":[40],"easy":[42],"be":[44,94],"cracked,":[45],"we":[46],"need":[47],"pay":[49],"more":[50,53,67],"attention":[51],"methods.":[55],"In":[56,97,119],"many":[57],"authentications,":[58],"advantage":[60],"keystrokes":[62],"mouse":[64,73],"are":[66,133],"obvious;":[68],"however,":[69],"when":[70,87],"researchers":[71],"use":[72],"dynamics":[74],"authenticate,":[76],"classifier":[77],"training":[78],"always":[79],"require":[80],"a":[81,100,137],"large":[82],"amount":[83],"data,":[85],"data":[89,116],"less,":[91],"there":[92],"may":[93],"inaccurate":[95],"results.":[96],"this":[98,120],"paper,":[99],"decision-level":[101],"fusion":[102],"two":[106,151],"classifiers":[107],"proposed,":[109],"which":[110,141],"reduces":[111],"strong":[113],"dependence":[114],"on":[115],"during":[117],"training.":[118],"method,":[121],"support":[123],"vector":[124],"machine":[125],"optimized":[126],"by":[127,149],"genetic":[128],"algorithm":[129,132],"k-nearest-neighbor":[131],"combined":[134],"get":[136],"lower":[138,143],"error":[139,146],"rate,":[140],"than":[144],"rate":[147],"generated":[148],"methods":[152],"alone.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
