{"id":"https://openalex.org/W7165675696","doi":"https://doi.org/10.48550/arxiv.2606.21900","title":"Continuous Behavioral Authentication via Multi-Expert BERT Log Analysis for Secure Data Sharing","display_name":"Continuous Behavioral Authentication via Multi-Expert BERT Log Analysis for Secure Data Sharing","publication_year":2026,"publication_date":"2026-06-20","ids":{"openalex":"https://openalex.org/W7165675696","doi":"https://doi.org/10.48550/arxiv.2606.21900"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.21900","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.21900","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.21900","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139198190","display_name":"Stergios Lantzos","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lantzos, Stergios","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066748423","display_name":"Ilias Syrigos","orcid":"https://orcid.org/0000-0002-4392-6036"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Syrigos, Ilias","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009917145","display_name":"\u0391\u03c0\u03cc\u03c3\u03c4\u03bf\u03bb\u03bf\u03c2 \u0391\u03c0\u03bf\u03c3\u03c4\u03bf\u03bb\u03ac\u03c1\u03b1\u03c2","orcid":"https://orcid.org/0000-0002-6053-5985"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Apostolaras, Apostolos","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5003948566","display_name":"Thanasis Korakis","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Korakis, Thanasis","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11800","display_name":"User Authentication and Security Systems","score":0.37950000166893005,"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":0.37950000166893005,"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":0.18860000371932983,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.09849999845027924,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/android","display_name":"Android (operating system)","score":0.6376000046730042},{"id":"https://openalex.org/keywords/normality","display_name":"Normality","score":0.46790000796318054},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4499000012874603},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.41029998660087585},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.39879998564720154},{"id":"https://openalex.org/keywords/behavioral-pattern","display_name":"Behavioral pattern","score":0.36719998717308044},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.36090001463890076},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.3125999867916107}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6833999752998352},{"id":"https://openalex.org/C557433098","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android (operating system)","level":2,"score":0.6376000046730042},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5396999716758728},{"id":"https://openalex.org/C2776157432","wikidata":"https://www.wikidata.org/wiki/Q1375683","display_name":"Normality","level":2,"score":0.46790000796318054},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4499000012874603},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.41029998660087585},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.39879998564720154},{"id":"https://openalex.org/C83804111","wikidata":"https://www.wikidata.org/wiki/Q1063558","display_name":"Behavioral pattern","level":2,"score":0.36719998717308044},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.36090001463890076},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33640000224113464},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.3125999867916107},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3084999918937683},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.2957000136375427},{"id":"https://openalex.org/C2779965156","wikidata":"https://www.wikidata.org/wiki/Q5227350","display_name":"Data sharing","level":3,"score":0.287200003862381},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.28459998965263367},{"id":"https://openalex.org/C132010649","wikidata":"https://www.wikidata.org/wiki/Q189222","display_name":"Intuition","level":2,"score":0.28139999508857727},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.26420000195503235},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2632000148296356},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.26190000772476196},{"id":"https://openalex.org/C2989486834","wikidata":"https://www.wikidata.org/wiki/Q3808900","display_name":"True positive rate","level":2,"score":0.26019999384880066},{"id":"https://openalex.org/C172195944","wikidata":"https://www.wikidata.org/wiki/Q541265","display_name":"Ubiquitous computing","level":2,"score":0.25929999351501465},{"id":"https://openalex.org/C144543869","wikidata":"https://www.wikidata.org/wiki/Q2738570","display_name":"Mobile computing","level":2,"score":0.25589999556541443},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2540999948978424}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.21900","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.21900","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.21900","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.21900","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7397079467773438}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Continuous":[0],"authentication":[1,31,152],"for":[2,28,62,99,150],"mobile":[3],"and":[4,45,57,67,80,110,124,153],"zero-trust":[5],"systems":[6],"requires":[7],"nonintrusive":[8],"evidence":[9],"confirming":[10],"the":[11,128],"enrolled":[12],"user-device":[13,154],"context":[14,155],"remains":[15],"valid":[16],"after":[17],"initial":[18],"login.":[19],"This":[20],"paper":[21],"presents":[22],"a":[23,49,77,81,87,94,146],"BERT":[24,51,117],"log":[25,55,118],"analysis":[26,119],"framework":[27],"continuous":[29,151],"behavioral":[30],"using":[32],"Android":[33,54,142],"system":[34,143],"logs.":[35],"The":[36,70,138],"proposed":[37],"pipeline":[38],"parses":[39],"logcat":[40],"streams":[41],"into":[42],"event":[43],"templates":[44],"dynamic":[46],"variables,":[47],"pre-trains":[48],"domain-adapted":[50],"encoder":[52],"on":[53,104],"syntax,":[56],"fine-tunes":[58],"three":[59],"expert":[60,71],"models":[61],"network/device":[63],"identity,":[64],"battery-transition":[65],"timing,":[66],"Wi-Fi":[68,112],"topology.":[69],"confidence":[72],"scores":[73],"are":[74,145],"fused":[75],"through":[76],"log-space":[78],"transformation":[79],"5-nearest-neighbor":[82],"distance":[83],"classifier":[84],"to":[85,93],"generate":[86],"normality":[88],"score":[89],"that":[90,115,141],"is":[91],"provided":[92],"Policy":[95],"Decision":[96],"Point":[97],"(PDP)":[98],"risk-aware":[100],"access":[101],"control.":[102],"Experiments":[103],"normal":[105],"traces,":[106],"controlled":[107],"anomaly":[108],"injections,":[109],"benign":[111],"perturbations":[113],"indicate":[114],"multi-expert":[116],"can":[120],"detect":[121],"semantic,":[122],"battery-timing,":[123],"topology":[125],"deviations":[126],"in":[127],"evaluated":[129],"setting":[130],"while":[131],"maintaining":[132],"sub-1%":[133],"False":[134],"Positive":[135],"Rate":[136],"(FPR).":[137],"results":[139],"suggest":[140],"logs":[144],"practical":[147],"sensor-free":[148],"signal":[149],"assurance.":[156]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-24T00:00:00"}