State-Based Differential Privacy Verification and Enforcement for Probabilistic Automata
State-Based Differential Privacy Verification and Enforcement for Probabilistic Automata
About this item
Full title
Author / Creator
Teng, Yuanxiu , Li, Zhiwu , Yin, Li and Wu, Naiqi
Publisher
Basel: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Basel: MDPI AG
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Scope and Contents
Contents
Roughly speaking, differential privacy is a privacy-preserving strategy that guarantees attackers to be unlikely to infer, from the previous system output, the dataset from which an output is derived. This work introduces differential privacy to discrete event systems modeled by probabilistic automata to protect the state information pertaining to...
Alternative Titles
Full title
State-Based Differential Privacy Verification and Enforcement for Probabilistic Automata
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_7c7ee96835874033924e01c35bbefa92
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7c7ee96835874033924e01c35bbefa92
Other Identifiers
ISSN
2227-7390
E-ISSN
2227-7390
DOI
10.3390/math11081853
