A robust privacy preserving approach for electronic health records using multiple dataset with multiple sensitive attributes

Privacy preserving data publishing of electronic health record (EHRs) for 1 to M datasets with multiple sensitive attributes (MSAs) is an interesting and challenging issue. There is always a trade-off between privacy and utility in data publishing. Most of the privacy-preserving models shows critica...

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Veröffentlicht in:	Computers & security 2021-06, Vol.105, p.102224, Article 102224
Hauptverfasser:	Kanwal, Tehsin, Anjum, Adeel, Malik, Saif U.R., Sajjad, Haider, Khan, Abid, Manzoor, Umar, Asheralieva, Alia
Format:	Artikel
Sprache:	eng
Schlagworte:	Balanced p+ sensitive k anonymity model Datasets Electronic Health Record Electronic health records Formal Verification Identity Disclosure Multiple Sensitive Attributes (MSAs) Petri nets Privacy Privacy-Preserving Robustness Sensitive Attribute Disclosure
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