Using Secure Multi-Party Computation to Protect Privacy on a Permissioned Blockchain

Zhou, Jiapeng; Feng, Yuxiang; Wang, Zhenyu; Guo, Danyi

doi:10.3390/s21041540

Cited by 41 publications

(26 citation statements)

References 33 publications

(47 reference statements)

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“…Privacy preservation is ensured by verifiable secret sharing, and secure multiparty computation is used to enhance security, efficiency, and fairness. Zhou et al [21] explored the privacy protection features of secure multiparty computation in the permissioned blockchain. This work integrated a secure MPC protocol in Hyperledger Fabric.…”

Section: Related Workmentioning

confidence: 99%

Delegated Proof of Accessibility (DPoAC): A Novel Consensus Protocol for Blockchain Systems

et al. 2022

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As the backbone of every blockchain application, the consensus protocol is impacted by numerous risks, namely resource requirements and energy consumption, which limit the usage of blockchain. Applications such as IoT/IIoT cannot use these high-cost consensus methods due to limited resources. Therefore, we introduce Delegated Proof of Accessibility (DPoAC), a new consensus technique that employs secret sharing, PoS with random selection, and an interplanetary file system (IPFS).DPoAC is decomposed into two stages. During the initial stage, a secret is generated by a randomly chosen super node and divided into n shares. These shares are encrypted and stored in different n nodes on the IPFS network. The nodes will compete to access these shareholders to reconstruct the secret. The winning node will be awarded block generation rights. PoS with random selection is used in the second stage to compute the appropriate hash value and construct a block with valid transactions. In this novel approach, a node with few computational resources and small stakes can still obtain block generation rights by providing access to secret shares and reconstructing the secret, making the system reasonably fair. We qualitatively analyze and compare our scheme based on performance parameters against existing mainstream consensus protocols in the context of IoT/IIoT networks.

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Section: Related Workmentioning

confidence: 99%

Delegated Proof of Accessibility (DPoAC): A Novel Consensus Protocol for Blockchain Systems

et al. 2022

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“…, y n . As soon as the computation completes, each party P i is required to acquire its own corresponding output y 1 without obtaining any other kind of information [63].…”

Section: Multi-party Computation For Achieving Blockchain Privacymentioning

confidence: 99%

Empirical Evaluation of Privacy Efficiency in Blockchain Networks: Review and Open Challenges

2021

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With the widespread of blockchain technology, preserving the anonymity and confidentiality of transactions have become crucial. An enormous portion of blockchain research is dedicated to the design and development of privacy protocols but not much has been achieved for proper assessment of these solutions. To mitigate the gap, we have first comprehensively classified the existing solutions based on blockchain fundamental building blocks (i.e., smart contracts, cryptography, and hashing). Next, we investigated the evaluation criteria used for validating these techniques. The findings depict that the majority of privacy solutions are validated based on computing resources i.e., memory, time, storage, throughput, etc., only, which is not sufficient. Hence, we have additionally identified and presented various other factors that strengthen or weaken blockchain privacy. Based on those factors, we have formulated an evaluation framework to analyze the efficiency of blockchain privacy solutions. Further, we have introduced a concept of privacy precision that is a quantifiable measure to empirically assess privacy efficiency in blockchains. The calculation of privacy precision will be based on the effectiveness and strength of various privacy protecting attributes of a solution and the associated risks. Finally, we conclude the paper with some open research challenges and future directions. Our study can serve as a benchmark for empirical assessment of blockchain privacy.

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“…Cryptographic protocols such as Multi-Party Computation (MPC) can enhance privacy and when combined with blockchain and smart contracts, it can help address the security, trust, and verifiability issues in distributed analytics [138]. Current research in this field has shown the feasibility of performing distributed privacy-preserving analysis on blockchain [51,139]. Researchers can further investigate and develop new approaches for genomic applications.…”

Section: Future Directionsmentioning

confidence: 99%

Blockchain for Genomics: A Systematic Literature Review

Alghazwi,

Turkmen,

van der Velde

et al. 2021

Preprint

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Human genomic data carry unique information about an individual and offer unprecedented opportunities for healthcare. The clinical interpretations derived from large genomic datasets can greatly improve healthcare and pave the way for personalized medicine.Sharing genomic datasets, however, pose major challenges, as genomic data is different from traditional medical data, indirectly revealing information about descendants and relatives of the data owner and carrying valid information even after the owner passes away. Therefore, stringent data ownership and control measures are required when dealing with genomic data. In order to provide secure and accountable infrastructure, blockchain technologies offer a promising alternative to traditional distributed systems. Indeed, the research on blockchain-based infrastructures tailored to genomics is on the rise. However, there is a lack of a comprehensive literature review that summarizes the current state-of-the-art methods in the applications of blockchain in genomics. In this paper, we systematically look at the existing work both commercial and academic, and discuss the major opportunities and challenges. Our study is driven by five research questions that we aim to answer in our review. We also present our projections of future research directions which we hope the researchers interested in the area can benefit from.

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Using Secure Multi-Party Computation to Protect Privacy on a Permissioned Blockchain

Cited by 41 publications

References 33 publications

Delegated Proof of Accessibility (DPoAC): A Novel Consensus Protocol for Blockchain Systems

Delegated Proof of Accessibility (DPoAC): A Novel Consensus Protocol for Blockchain Systems

Empirical Evaluation of Privacy Efficiency in Blockchain Networks: Review and Open Challenges

Blockchain for Genomics: A Systematic Literature Review

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