Promoting Data Circulation by Secure Multi-party Computation and Blockchain
نویسندگان
چکیده
منابع مشابه
Unconditionally Secure Multi-Party Computation
The most general type of multi-party computation involves n participants. Participant i supplies private data xi and obtains an output function fi(x1, . . . , xn). The computation is said to be unconditionally secure if each participant can verify, with probability arbitrarily close to one, that every other participant obtains arbitrarily little information beyond their agreed output fi. We giv...
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The increased processing power and storage capacity of inhome and mobile computing devices has motivated their inclusion in distributed and cloud computing systems. The resulting diverse environment creates a strong requirement for secure computations, which can be realised by Secure Multi-Party Computation (MPC). However, MPC most commonly assumes that parties performing the secure computation...
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Since the introduction of secure multi-party computation, all proposed protocols that provide security against cheating players suffer from very high communication complexities. The most efficient unconditionally secure protocols among n players, tolerating cheating by up to t < n/3 of them, require communicating O(n6) field elements for each multiplication of two elements, even if only one pla...
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Patient related health data are typically located at different general practices and hospitals. When processing and analyzing such data, the provided infrastructure and toolset has to take into consideration legal, security and privacy issues. The combination of secure multi-party computations (SMC) algorithms, encryption, public key infrastructure (PKI), certificates, and a certificate authori...
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ژورنال
عنوان ژورنال: DEStech Transactions on Computer Science and Engineering
سال: 2018
ISSN: 2475-8841
DOI: 10.12783/dtcse/ceic2018/24542