{"id":"https://openalex.org/W7160997275","doi":"https://doi.org/10.48550/arxiv.2605.11682","title":"HySecTwin: A Knowledge-Driven Digital Twin Framework Augmented with Hybrid Reasoning for Cyber-Physical Systems","display_name":"HySecTwin: A Knowledge-Driven Digital Twin Framework Augmented with Hybrid Reasoning for Cyber-Physical Systems","publication_year":2026,"publication_date":"2026-05-12","ids":{"openalex":"https://openalex.org/W7160997275","doi":"https://doi.org/10.48550/arxiv.2605.11682"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.11682","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.11682","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"license_id":null,"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.2605.11682","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136086648","display_name":"David Holmes","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Holmes, David","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136053292","display_name":"Ahmad Moshin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Moshin, Ahmad","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136073116","display_name":"Surya Nepal","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nepal, Surya","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136062941","display_name":"Leslie Sikos","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sikos, Leslie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Sarker, Iqbal","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sarker, Iqbal","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Yanicke, Helge","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yanicke, Helge","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/T10917","display_name":"Smart Grid Security and Resilience","score":0.4684000015258789,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10917","display_name":"Smart Grid Security and Resilience","score":0.4684000015258789,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10714","display_name":"Software-Defined Networks and 5G","score":0.34290000796318054,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.028200000524520874,"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/testbed","display_name":"Testbed","score":0.5110999941825867},{"id":"https://openalex.org/keywords/automated-reasoning","display_name":"Automated reasoning","score":0.4553000032901764},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.43880000710487366},{"id":"https://openalex.org/keywords/transparency","display_name":"Transparency (behavior)","score":0.3822999894618988},{"id":"https://openalex.org/keywords/reasoning-system","display_name":"Reasoning system","score":0.3822000026702881},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.36820000410079956},{"id":"https://openalex.org/keywords/inference-engine","display_name":"Inference engine","score":0.3560999929904938},{"id":"https://openalex.org/keywords/resilience","display_name":"Resilience (materials science)","score":0.3538999855518341}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7858999967575073},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.5110999941825867},{"id":"https://openalex.org/C195344581","wikidata":"https://www.wikidata.org/wiki/Q2555318","display_name":"Automated reasoning","level":2,"score":0.4553000032901764},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.43880000710487366},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.391400009393692},{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.3822999894618988},{"id":"https://openalex.org/C89288958","wikidata":"https://www.wikidata.org/wiki/Q7301504","display_name":"Reasoning system","level":2,"score":0.3822000026702881},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.36820000410079956},{"id":"https://openalex.org/C46743427","wikidata":"https://www.wikidata.org/wiki/Q1341685","display_name":"Inference engine","level":3,"score":0.3560999929904938},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.3538999855518341},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.3443000018596649},{"id":"https://openalex.org/C98025372","wikidata":"https://www.wikidata.org/wiki/Q477538","display_name":"Systems architecture","level":3,"score":0.33090001344680786},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.32749998569488525},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3244999945163727},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.3239000141620636},{"id":"https://openalex.org/C102993220","wikidata":"https://www.wikidata.org/wiki/Q387196","display_name":"Description logic","level":2,"score":0.3176000118255615},{"id":"https://openalex.org/C50897621","wikidata":"https://www.wikidata.org/wiki/Q2665508","display_name":"Hybrid system","level":2,"score":0.31360000371932983},{"id":"https://openalex.org/C20136886","wikidata":"https://www.wikidata.org/wiki/Q749647","display_name":"Interoperability","level":2,"score":0.30799999833106995},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.30160000920295715},{"id":"https://openalex.org/C37335422","wikidata":"https://www.wikidata.org/wiki/Q6888134","display_name":"Model-based reasoning","level":3,"score":0.2962000072002411},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.2797999978065491},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.2761000096797943},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.2754000127315521},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2549000084400177}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.11682","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.11682","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.11682","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.11682","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6250687837600708}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Existing":[0],"Digital":[1],"Twin":[2],"(DT)":[3],"approaches":[4],"often":[5],"lack":[6],"semantic":[7,40,139,141],"reasoning":[8,30,59,79,133,145],"capabilities":[9],"for":[10,162],"effective":[11],"cybersecurity":[12],"modelling":[13,41],"in":[14,167],"Cyber-Physical":[15],"Systems":[16],"(CPS).":[17],"This":[18,92],"paper":[19],"presents":[20],"HySecTwin,":[21],"a":[22,108,156],"knowledge-driven":[23],"digital":[24,164],"twin":[25,120,165],"architecture":[26],"that":[27,138],"places":[28],"automated":[29],"at":[31],"the":[32,70],"core":[33],"of":[34,96],"real-time":[35],"threat":[36,128],"detection.":[37],"HySecTwin":[38,154],"incorporates":[39],"to":[42,80,125],"transform":[43],"heterogeneous":[44],"CPS":[45,98,110],"telemetry,":[46],"device":[47,90],"attributes,":[48],"and":[49,84,103,112,123,143,148,159],"operational":[50],"relationships":[51],"into":[52],"machine-interpretable":[53],"representations,":[54],"combined":[55],"with":[56,76,131],"an":[57],"embedded":[58],"engine":[60],"operating":[61],"over":[62],"contextualized":[63],"system":[64,152],"states.":[65],"Unlike":[66],"opaque":[67],"detection":[68,129],"methods,":[69],"framework":[71,161],"integrates":[72],"deterministic":[73,132],"rule-based":[74],"inference":[75],"hybrid":[77,144],"fuzzy":[78],"generate":[81],"explicit,":[82],"interpretable,":[83],"auditable":[85],"security":[86],"assessments":[87],"from":[88],"live":[89],"telemetry.":[91],"enables":[93],"context-aware":[94],"monitoring":[95],"complex":[97],"environments":[99],"while":[100],"preserving":[101],"transparency":[102],"trust.":[104],"Experimental":[105],"evaluation":[106],"using":[107],"representative":[109],"testbed":[111],"MITRE":[113],"ATT\\&amp;CK":[114],"campaign-inspired":[115],"attack":[116],"scenarios":[117],"demonstrates":[118],"sub-millisecond":[119],"synchronization":[121],"latency":[122],"up":[124],"21.5\\%":[126],"faster":[127],"compared":[130],"alone.":[134],"The":[135],"results":[136],"show":[137],"modelling,":[140],"enrichment,":[142],"improve":[146],"explainability":[147],"resilience":[149],"without":[150],"extra":[151],"overhead.":[153],"provides":[155],"lightweight,":[157],"containerized,":[158],"extensible":[160],"secure-by-design":[163],"deployments":[166],"mission-critical":[168],"infrastructures":[169]},"counts_by_year":[],"updated_date":"2026-07-21T08:15:58.654021","created_date":"2026-05-14T00:00:00"}
