Medical Data Protection Using Blind Watermarking Technique

2020 ◽  
pp. 557-576
Author(s):  
Abdallah Soualmi ◽  
Adel Alti ◽  
Lamri Laouamer
Keyword(s):  
Data Protection ◽  
Medical Data ◽  
Blind Watermarking

Medical data protection: A proposal for a deontology code

1990 ◽  
Vol 14 (6) ◽  
pp. 375-386 ◽  
Author(s):  
D. Gritzalis ◽  
A. Tomaras ◽  
S. Katsikas ◽  
J. Keklikoglou
Keyword(s):  
Data Protection ◽  
Medical Data

scholarly journals Digital medical data protection compliance among medical staffs

2019 ◽  
Vol 1339 ◽  
pp. 012100
Author(s):  
Uning Pratimaratri ◽  
Desi Ilona ◽  
Zaitul
Keyword(s):  
Data Protection ◽  
Medical Data

scholarly journals Using ABE for Medical Data Protection in Fog Computing

2019 ◽  
Author(s):  
Abdelghani Krinah ◽  
Yacine Challal ◽  
Mawloud Omar ◽  
Omar Nouali
Keyword(s):  
Data Protection ◽  
Fog Computing ◽  
Medical Data

scholarly journals Revolutionizing Medical Data Sharing Using Advanced Privacy-Enhancing Technologies: Technical, Legal, and Ethical Synthesis

10.2196/25120 ◽  
2021 ◽  
Vol 23 (2) ◽  
pp. e25120 ◽  
Author(s):  
James Scheibner ◽  
Jean Louis Raisaro ◽  
Juan Ramón Troncoso-Pastoriza ◽  
Marcello Ienca ◽  
Jacques Fellay ◽  
...  
Keyword(s):  
Medical Research ◽  
Data Sharing ◽  
Data Protection ◽  
Homomorphic Encryption ◽  
Medical Data ◽  
Secure Multiparty Computation ◽  
Multiparty Computation ◽  
Data Interoperability ◽  
General Data Protection Regulation ◽  
Privacy Enhancing Technologies

Multisite medical data sharing is critical in modern clinical practice and medical research. The challenge is to conduct data sharing that preserves individual privacy and data utility. The shortcomings of traditional privacy-enhancing technologies mean that institutions rely upon bespoke data sharing contracts. The lengthy process and administration induced by these contracts increases the inefficiency of data sharing and may disincentivize important clinical treatment and medical research. This paper provides a synthesis between 2 novel advanced privacy-enhancing technologies—homomorphic encryption and secure multiparty computation (defined together as multiparty homomorphic encryption). These privacy-enhancing technologies provide a mathematical guarantee of privacy, with multiparty homomorphic encryption providing a performance advantage over separately using homomorphic encryption or secure multiparty computation. We argue multiparty homomorphic encryption fulfills legal requirements for medical data sharing under the European Union’s General Data Protection Regulation which has set a global benchmark for data protection. Specifically, the data processed and shared using multiparty homomorphic encryption can be considered anonymized data. We explain how multiparty homomorphic encryption can reduce the reliance upon customized contractual measures between institutions. The proposed approach can accelerate the pace of medical research while offering additional incentives for health care and research institutes to employ common data interoperability standards.

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