{"id":"https://openalex.org/W4415222539","doi":"https://doi.org/10.1109/cns66487.2025.11195044","title":"Dynamic Trust Scoring for Zero Trust at the Edge: A Multi-Factor, Context-Aware Approach","display_name":"Dynamic Trust Scoring for Zero Trust at the Edge: A Multi-Factor, Context-Aware Approach","publication_year":2025,"publication_date":"2025-09-08","ids":{"openalex":"https://openalex.org/W4415222539","doi":"https://doi.org/10.1109/cns66487.2025.11195044"},"language":"en","primary_location":{"id":"doi:10.1109/cns66487.2025.11195044","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cns66487.2025.11195044","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Conference on Communications and Network Security (CNS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5024969203","display_name":"Shengjie Xu","orcid":"https://orcid.org/0000-0003-2019-5186"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shengjie Xu","raw_affiliation_strings":["University of Arizona,College of Information Science,Tucson,Arizona,USA,85721"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Arizona,College of Information Science,Tucson,Arizona,USA,85721","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113780060","display_name":"Yi Qian","orcid":null},"institutions":[{"id":"https://openalex.org/I87208437","display_name":"University of Tulsa","ror":"https://ror.org/04wn28048","country_code":"US","type":"education","lineage":["https://openalex.org/I87208437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi Qian","raw_affiliation_strings":["University of Tulsa,Tandy School of Computer Science,Tulsa,Oklahoma,USA,74104"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tulsa,Tandy School of Computer Science,Tulsa,Oklahoma,USA,74104","institution_ids":["https://openalex.org/I87208437"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":13.9954,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.98440193,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10927","display_name":"Access Control and Trust","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10927","display_name":"Access Control and Trust","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11614","display_name":"Cloud Data Security Solutions","score":0.921999990940094,"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/key","display_name":"Key (lock)","score":0.6154999732971191},{"id":"https://openalex.org/keywords/zero","display_name":"Zero (linguistics)","score":0.6057000160217285},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5968000292778015},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5911999940872192},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5608000159263611},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.47620001435279846}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7257000207901001},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6154999732971191},{"id":"https://openalex.org/C2780813799","wikidata":"https://www.wikidata.org/wiki/Q3274237","display_name":"Zero (linguistics)","level":2,"score":0.6057000160217285},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5968000292778015},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5911999940872192},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5608000159263611},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.47620001435279846},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40119999647140503},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3571999967098236},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32829999923706055},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3237999975681305},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32179999351501465},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.3050999939441681},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.2948000133037567},{"id":"https://openalex.org/C52970973","wikidata":"https://www.wikidata.org/wiki/Q2497134","display_name":"Adaptive system","level":2,"score":0.2754000127315521},{"id":"https://openalex.org/C2777825026","wikidata":"https://www.wikidata.org/wiki/Q3410431","display_name":"Public trust","level":2,"score":0.2702000141143799},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.26930001378059387}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cns66487.2025.11195044","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cns66487.2025.11195044","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Conference on Communications and Network Security (CNS)","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":11,"referenced_works":["https://openalex.org/W2976189582","https://openalex.org/W3126869510","https://openalex.org/W4220870308","https://openalex.org/W4285205927","https://openalex.org/W4293060418","https://openalex.org/W4319863504","https://openalex.org/W4388191438","https://openalex.org/W4400073927","https://openalex.org/W4402595292","https://openalex.org/W4404627439","https://openalex.org/W7084056498"],"related_works":[],"abstract_inverted_index":{"Zero":[0,28,182],"Trust":[1,23,29,183],"architectures":[2],"are":[3,16],"increasingly":[4],"critical":[5],"for":[6,27,94,119,155,163],"securing":[7],"distributed,":[8],"resource-constrained":[9],"edge":[10,30,121],"environments,":[11],"where":[12],"traditional":[13],"perimeter-based":[14],"models":[15],"insufficient.":[17],"This":[18],"paper":[19],"presents":[20],"a":[21],"Dynamic":[22],"Scoring":[24],"designed":[25],"specifically":[26],"networks.":[31],"Our":[32,133],"system":[33,138],"implements":[34],"context-aware":[35],"trust":[36,56,92,113,148],"evaluation":[37,114],"that":[38,136],"adapts":[39],"to":[40,105,107,153],"device":[41],"types,":[42],"network":[43],"conditions,":[44],"and":[45,61,70,81,110,129,144,170],"operational":[46],"requirements.":[47],"The":[48,102,166],"framework":[49],"incorporates":[50],"four":[51],"key":[52],"components:":[53],"(1)":[54],"advanced":[55],"factors":[57],"(time,":[58],"patch,":[59],"certificate,":[60],"behavioral),":[62],"(2)":[63],"adaptive":[64],"weighting":[65],"system,":[66],"(3)":[67],"historical":[68],"analysis,":[69],"(4)":[71],"comprehensive":[72,171],"visualization":[73],"tools.":[74],"Through":[75],"extensive":[76],"simulation":[77],"of":[78],"both":[79],"normal":[80,95,164],"adversarial":[82],"scenarios,":[83],"we":[84],"demonstrate":[85],"the":[86,137],"system's":[87],"effectiveness":[88],"in":[89,180],"maintaining":[90,159],"high":[91,161],"scores":[93,149,162],"devices":[96,157],"while":[97,158],"rapidly":[98],"detecting":[99],"compromised":[100,145,156],"behavior.":[101],"framework's":[103,167],"ability":[104],"adapt":[106],"changing":[108],"conditions":[109],"provide":[111],"fine-grained":[112],"makes":[115],"it":[116],"particularly":[117],"suitable":[118],"mission-critical":[120],"applications,":[122],"such":[123],"as":[124],"autonomous":[125],"vehicles,":[126],"industrial":[127],"IoT,":[128],"public":[130],"safety":[131],"communications.":[132],"results":[134],"show":[135],"can":[139],"effectively":[140],"distinguish":[141],"between":[142],"benign":[143],"devices,":[146],"with":[147],"dropping":[150],"by":[151],"up":[152],"50%":[154],"stable":[160],"operation.":[165],"reproducibility":[168],"features":[169],"statistical":[172],"analysis":[173],"capabilities":[174],"further":[175],"enhance":[176],"its":[177],"practical":[178],"applicability":[179],"real-world":[181],"deployments.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-16T00:00:00"}