scholarly journals Cryptographically Secure Multiparty Computation and Distributed Auctions Using Homomorphic Encryption

Cryptography ◽  
2017 ◽  
Vol 1 (3) ◽  
pp. 25 ◽  
Author(s):  
◽  
◽  
◽  
Keyword(s):  
Homomorphic Encryption ◽  
Secure Multiparty Computation ◽  
Multiparty Computation

scholarly journals Efficient Secure Multiparty Computation Protocol for Sequencing Problem over Insecure Channel

2013 ◽  
Vol 2013 ◽  
pp. 1-5 ◽  
Author(s):  
Yi Sun ◽  
Qiaoyan Wen ◽  
Yudong Zhang ◽  
Hua Zhang ◽  
Zhengping Jin
Keyword(s):  
Homomorphic Encryption ◽  
Privacy Preserving ◽  
Secure Multiparty Computation ◽  
Online Auction ◽  
Multiparty Computation ◽  
Sequencing Problem ◽  
The Core ◽  
Secure Protocol ◽  
Core Issue

As a powerful tool in solving privacy preserving cooperative problems, secure multiparty computation is more and more popular in electronic bidding, anonymous voting, and online auction. Privacy preserving sequencing problem which is an essential link is regarded as the core issue in these applications. However, due to the difficulties of solving multiparty privacy preserving sequencing problem, related secure protocol is extremely rare. In order to break this deadlock, this paper first presents an efficient secure multiparty computation protocol for the general privacy-preserving sequencing problem based on symmetric homomorphic encryption. The result is of value not only in theory, but also in practice.

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.

scholarly journals Secure Multiparty computation enabled E-Healthcare system with Homomorphic encryption

2020 ◽  
Vol 981 ◽  
pp. 022079
Author(s):  
A Vijaya Kumar ◽  
Mogalapalli Sai Sujith ◽  
Kosuri Tarun Sai ◽  
Galla Rajesh ◽  
Devulapalli Jagannadha Sriram Yashwanth
Keyword(s):  
Healthcare System ◽  
Homomorphic Encryption ◽  
Secure Multiparty Computation ◽  
Multiparty Computation

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

2020 ◽  
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

UNSTRUCTURED 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.

Secure multiparty computation solutions of collection member decision

2013 ◽  
Vol 33 (12) ◽  
pp. 3527-3530
Author(s):  
Yongli DOU ◽  
Haichun WANG ◽  
Jian KANG
Keyword(s):  
Secure Multiparty Computation ◽  
Multiparty Computation
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