{"id":"https://openalex.org/W2151786485","doi":"https://doi.org/10.1109/biosig.2015.7314603","title":"Exploring How User Routine Affects the Recognition Performance of a Lock Pattern","display_name":"Exploring How User Routine Affects the Recognition Performance of a Lock Pattern","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2151786485","doi":"https://doi.org/10.1109/biosig.2015.7314603","mag":"2151786485"},"language":"en","primary_location":{"id":"doi:10.1109/biosig.2015.7314603","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biosig.2015.7314603","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference of the Biometrics Special Interest Group (BIOSIG)","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/A5048751257","display_name":"Lisa de Wilde","orcid":null},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Lisa de Wilde","raw_affiliation_strings":["Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, AE, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, AE, The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105827280","display_name":"Luuk Spreeuwers","orcid":"https://orcid.org/0000-0001-8481-560X"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Luuk Spreeuwers","raw_affiliation_strings":["Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, AE, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, AE, The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031138348","display_name":"Raymond Veldhuis","orcid":"https://orcid.org/0000-0002-0381-5235"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Raymond Veldhuis","raw_affiliation_strings":["Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, AE, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, AE, The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048751257"],"corresponding_institution_ids":["https://openalex.org/I94624287"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.10470653,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"10","issue":null,"first_page":"1","last_page":"8"},"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9991000294685364,"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/T12034","display_name":"Digital and Cyber Forensics","score":0.9954000115394592,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.8634333610534668},{"id":"https://openalex.org/keywords/lock","display_name":"Lock (firearm)","score":0.7788413763046265},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7674077749252319},{"id":"https://openalex.org/keywords/android","display_name":"Android (operating system)","score":0.5745761394500732},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.545253574848175},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4782366156578064},{"id":"https://openalex.org/keywords/pattern-analysis","display_name":"Pattern analysis","score":0.4598676860332489},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40595853328704834},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2576901316642761},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13765037059783936},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.11020123958587646}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.8634333610534668},{"id":"https://openalex.org/C174839445","wikidata":"https://www.wikidata.org/wiki/Q1134386","display_name":"Lock (firearm)","level":2,"score":0.7788413763046265},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7674077749252319},{"id":"https://openalex.org/C557433098","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android (operating system)","level":2,"score":0.5745761394500732},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.545253574848175},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4782366156578064},{"id":"https://openalex.org/C2985264313","wikidata":"https://www.wikidata.org/wiki/Q378859","display_name":"Pattern analysis","level":2,"score":0.4598676860332489},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40595853328704834},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2576901316642761},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13765037059783936},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.11020123958587646},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/biosig.2015.7314603","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biosig.2015.7314603","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference of the Biometrics Special Interest Group (BIOSIG)","raw_type":"proceedings-article"},{"id":"pmh:oai:ris.utwente.nl:openaire_cris_publications/5b3a97dd-b9e7-4939-b2c2-d40ab64a3043","is_oa":false,"landing_page_url":"https://research.utwente.nl/en/publications/5b3a97dd-b9e7-4939-b2c2-d40ab64a3043","pdf_url":null,"source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","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":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"de Wide, L, Spreeuwers, L J & Veldhuis, R N J 2015, Exploring How User Routine Affects the Recognition Performance of a Lock Pattern. in Proceedings of the 2015 International Conference of the Biometrics Special Interest Group (BIOSIG). Lecture Notes in Informatics (LNI) - Proceedings, vol. P-245, Gesellschaft f\u00fcr Informatik, Bonn, pp. 1-8, 14th International Conference of the Biometrics Special Interest Group 2015, Darmstadt, Germany, 9/09/15. https://doi.org/10.1109/BIOSIG.2015.7314603","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:ris.utwente.nl:openaire_cris_publications/5b3a97dd-b9e7-4939-b2c2-d40ab64a3043","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W88822072","https://openalex.org/W1626992774","https://openalex.org/W1972507799","https://openalex.org/W2055389916","https://openalex.org/W2143776092","https://openalex.org/W2157298821","https://openalex.org/W4229821605"],"related_works":["https://openalex.org/W2076845124","https://openalex.org/W2183964146","https://openalex.org/W2379932303","https://openalex.org/W3147744369","https://openalex.org/W4241440711","https://openalex.org/W2062586268","https://openalex.org/W2019582947","https://openalex.org/W3212688212","https://openalex.org/W4300873085","https://openalex.org/W4300552992"],"abstract_inverted_index":{"To":[0,28],"protect":[1],"an":[2,123],"Android":[3],"smartphone":[4],"against":[5],"attackers,":[6],"a":[7,86,118,131,138,143],"lock":[8,39,65,119,133,144],"pattern":[9,120,145],"can":[10,18,34],"be":[11,19,35],"used.":[12],"Nevertheless,":[13],"shoulder-surfing":[14],"and":[15,69,85,101],"smudge":[16],"attacks":[17],"used":[20],"to":[21,37,117],"get":[22],"access":[23],"despite":[24],"of":[25,48,76],"this":[26,91,109],"protection.":[27],"combat":[29],"these":[30],"attacks,":[31],"biometric":[32,147],"recognition":[33,74],"added":[36],"the":[38,43,49,53,61,73,77,93,99,104],"pattern,":[40],"such":[41],"that":[42,114,126],"lock-pattern":[44,80],"application":[45],"keeps":[46],"track":[47],"way":[50,62],"users":[51,59],"draw":[52,64],"pattern.":[54,78,134],"This":[55],"research":[56,92],"explores":[57],"how":[58],"change":[60],"they":[63],"patterns":[66],"over":[67,141],"time":[68],"its":[70],"effect":[71],"on":[72],"performance":[75],"A":[79],"dataset":[81],"has":[82],"been":[83],"collected":[84],"classifier":[87],"is":[88,112,121,136],"proposed.":[89],"In":[90],"best":[94],"result":[95],"was":[96],"obtained":[97],"using":[98,142],"x-":[100],"y-coordinate":[102],"as":[103],"user's":[105],"biometrics.":[106],"Unfortunately,":[107],"in":[108],"paper":[110],"it":[111],"shown":[113],"adding":[115],"biometrics":[116],"only":[122],"additional":[124],"security":[125],"provides":[127],"no":[128],"guarantee":[129],"for":[130],"secure":[132],"It":[135],"just":[137],"small":[139],"improvement":[140],"without":[146],"identification.":[148]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
