{"id":"https://openalex.org/W4416961845","doi":"https://doi.org/10.1109/pst65910.2025.11268844","title":"A Dynamic, Context-Aware Trust Model for Distributed Computing Environments","display_name":"A Dynamic, Context-Aware Trust Model for Distributed Computing Environments","publication_year":2025,"publication_date":"2025-08-26","ids":{"openalex":"https://openalex.org/W4416961845","doi":"https://doi.org/10.1109/pst65910.2025.11268844"},"language":null,"primary_location":{"id":"doi:10.1109/pst65910.2025.11268844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pst65910.2025.11268844","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 22nd Annual International Conference on Privacy, Security, and Trust (PST)","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/A5100686620","display_name":"Divya Bansal","orcid":"https://orcid.org/0000-0001-9445-4086"},"institutions":[{"id":"https://openalex.org/I860003557","display_name":"Punjab Engineering College","ror":"https://ror.org/00bsj2955","country_code":"IN","type":"education","lineage":["https://openalex.org/I860003557"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Divya Bansal","raw_affiliation_strings":["Computer Science and Engineering Punjab Engineering College,Chandigarh,India"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Punjab Engineering College,Chandigarh,India","institution_ids":["https://openalex.org/I860003557"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026724995","display_name":"Sabrina Dhalla","orcid":"https://orcid.org/0000-0002-5820-3666"},"institutions":[{"id":"https://openalex.org/I860003557","display_name":"Punjab Engineering College","ror":"https://ror.org/00bsj2955","country_code":"IN","type":"education","lineage":["https://openalex.org/I860003557"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sabrina Dhalla","raw_affiliation_strings":["Computer Science and Engineering Punjab Engineering College,Chandigarh,India"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Punjab Engineering College,Chandigarh,India","institution_ids":["https://openalex.org/I860003557"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038260597","display_name":"Jaspal Kaur Saini","orcid":"https://orcid.org/0000-0003-1142-1356"},"institutions":[{"id":"https://openalex.org/I70971781","display_name":"Dr. B. R. Ambedkar National Institute of Technology Jalandhar","ror":"https://ror.org/03xt0bg88","country_code":"IN","type":"education","lineage":["https://openalex.org/I70971781"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jaspal Kaur Saini","raw_affiliation_strings":["Information Technology Dr. B R Ambedkar NIT Jalandhar,Punjab,India"],"affiliations":[{"raw_affiliation_string":"Information Technology Dr. B R Ambedkar NIT Jalandhar,Punjab,India","institution_ids":["https://openalex.org/I70971781"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100686620"],"corresponding_institution_ids":["https://openalex.org/I860003557"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.48741707,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10927","display_name":"Access Control and Trust","score":0.7024000287055969,"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":0.7024000287055969,"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/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.14560000598430634,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.015599999576807022,"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/context","display_name":"Context (archaeology)","score":0.6761999726295471},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6292999982833862},{"id":"https://openalex.org/keywords/reputation","display_name":"Reputation","score":0.6190000176429749},{"id":"https://openalex.org/keywords/computational-trust","display_name":"Computational trust","score":0.5791000127792358},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5525000095367432},{"id":"https://openalex.org/keywords/trust-management","display_name":"Trust management (information system)","score":0.4927000105381012},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.39340001344680786},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.3822000026702881}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7512000203132629},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6761999726295471},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6292999982833862},{"id":"https://openalex.org/C48798503","wikidata":"https://www.wikidata.org/wiki/Q877546","display_name":"Reputation","level":2,"score":0.6190000176429749},{"id":"https://openalex.org/C160521178","wikidata":"https://www.wikidata.org/wiki/Q5157345","display_name":"Computational trust","level":3,"score":0.5791000127792358},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5525000095367432},{"id":"https://openalex.org/C2776384856","wikidata":"https://www.wikidata.org/wiki/Q17145767","display_name":"Trust management (information system)","level":2,"score":0.4927000105381012},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.46389999985694885},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.39340001344680786},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.3822000026702881},{"id":"https://openalex.org/C113839178","wikidata":"https://www.wikidata.org/wiki/Q7631418","display_name":"Subjective logic","level":3,"score":0.3804999887943268},{"id":"https://openalex.org/C154800190","wikidata":"https://www.wikidata.org/wiki/Q16941470","display_name":"Trust anchor","level":4,"score":0.3700000047683716},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.35920000076293945},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.34940001368522644},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3361999988555908},{"id":"https://openalex.org/C14185376","wikidata":"https://www.wikidata.org/wiki/Q30232","display_name":"Agile software development","level":2,"score":0.321399986743927},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.3095000088214874},{"id":"https://openalex.org/C154908896","wikidata":"https://www.wikidata.org/wiki/Q2167404","display_name":"Security policy","level":2,"score":0.3095000088214874},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.304500013589859},{"id":"https://openalex.org/C2780898871","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance metric","level":2,"score":0.2946000099182129}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pst65910.2025.11268844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pst65910.2025.11268844","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 22nd Annual International Conference on Privacy, Security, and Trust (PST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2529623821","https://openalex.org/W2612022034","https://openalex.org/W3035900025","https://openalex.org/W3048498988","https://openalex.org/W3094334402","https://openalex.org/W3125328758","https://openalex.org/W3152975388","https://openalex.org/W3175862181","https://openalex.org/W4225154144","https://openalex.org/W4293565084","https://openalex.org/W4319068643","https://openalex.org/W4367055702","https://openalex.org/W4381734384","https://openalex.org/W4395449175","https://openalex.org/W4408520071"],"related_works":[],"abstract_inverted_index":{"Distributed":[0],"environments":[1],"such":[2,51,131],"as":[3,52,86,132],"edge":[4],"and":[5,17,46,61,76,94,121,139,145,162,172,181,187,192],"vehicular":[6,36,128],"networks":[7],"demand":[8],"agile":[9],"real-time":[10,66],"trust":[11,25,43,67,72,161,169,186],"mechanisms":[12],"due":[13],"to":[14,29,64,108,148],"their":[15],"decentralised":[16],"high-risk":[18],"dynamics.":[19],"We":[20,102,116],"propose":[21],"a":[22,44,87,99,105],"dynamic,":[23],"multi-layered":[24],"model":[26,120,159],"that":[27],"adapts":[28],"the":[30,79,118],"context":[31,75],"of":[32,81,90],"these":[33],"environments,":[34],"including":[35],"networks.":[37,129],"Unlike":[38],"static":[39],"models,":[40],"it":[41,123],"considers":[42],"dynamic":[45,175],"subjective":[47],"construct,":[48],"using":[49,124],"inputs":[50],"interaction":[53],"history,":[54],"community":[55],"reputation,":[56,93],"anomaly":[57,95],"detection,":[58],"operational":[59,182],"context,":[60],"policy":[62,180],"compliance":[63],"compute":[65],"scores.":[68],"Graph-based":[69],"structures":[70],"represent":[71],"relationships,":[73],"with":[74],"roles":[77],"influencing":[78],"weighting":[80,176],"factors.":[82],"Trust":[83],"is":[84],"calculated":[85],"weighted":[88],"sum":[89],"direct":[91],"trust,":[92],"scores":[96],"guided":[97,178],"by":[98,179],"contextual":[100],"policy.":[101],"also":[103],"introduce":[104],"mistrust":[106,163,188],"metric":[107],"incorporate":[109],"negative":[110],"signals":[111],"for":[112,160],"timely":[113],"threat":[114],"responses.":[115],"present":[117],"formal":[119],"validate":[122],"real-world":[125],"scenarios":[126],"in":[127],"Metrics":[130],"Direct":[133],"Trust,":[134],"Reputation":[135],"Score,":[136,138],"Anomaly":[137],"Policy":[140],"Modulation":[141],"are":[142],"explicitly":[143],"defined":[144],"temporally":[146],"updated":[147],"reflect":[149],"evolving":[150,199],"entity":[151],"behavior.":[152],"Our":[153,184],"contributions":[154],"are:":[155],"1)":[156],"A":[157,166,174],"two-layer":[158],"evaluation,":[164],"2)":[165],"real-time,":[167],"context-sensitive":[168],"computation":[170],"mechanism,":[171],"3)":[173],"approach":[177],"roles.":[183],"dual-layer":[185],"framework":[189],"delivers":[190],"actionable":[191],"adaptable":[193],"scores,":[194],"enabling":[195],"robust":[196],"security":[197],"posture":[198],"distributed":[200],"environments.":[201]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-12-03T00:00:00"}