Decentralized Privacy Preserving Reputation System

Owiyo, Erick; Wang, Yong; Asamoah, Eunice; Kamenyi, Domnic; Obiri, Isaac Amankona

doi:10.1109/dsc.2018.00106

Cited by 8 publications

(8 citation statements)

References 16 publications

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“…Blind signatures are usually employed in privacy-preserving protocols to achieve the anonymity of users (or signers) belonging to different parties [259]. In addition, blind signatures are extensively utilised in Blockchain e-voting applications to ensure voter and candidate anonymity [201,260]. • Attribute-Based Signature: Attribute-based signature (ABS) is a modern digital signature mechanism that allows users to sign documents with fine-grained access control policies.…”

Section: Signaturesmentioning

confidence: 99%

A taxonomy study on securing Blockchain-based Industrial applications: An overview, application perspectives, requirements, attacks, countermeasures, and open issues

Hameed

Barika

Garg

et al. 2022

Journal of Industrial Information Integration

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Section: Signaturesmentioning

confidence: 99%

A taxonomy study on securing Blockchain-based Industrial applications: An overview, application perspectives, requirements, attacks, countermeasures, and open issues

Hameed

Barika

Garg

et al. 2022

Journal of Industrial Information Integration

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“…The anonymous reputation of a vehicle reflects the feedback received regarding its contributions. Owiyo et al [52] propose a decentralized privacy preserving reputation system based on blockchain that is claimed to provide low transaction overheads. Jo and Choi [5] describe a blockchain-based privacy preserving reputation framework for participatory sensing systems.…”

Section: Blockchain-based Systemsmentioning

confidence: 99%

Privacy-Preserving Reputation Systems Based on Blockchain and Other Cryptographic Building Blocks: A Survey

2022

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The purpose of a reputation system is to hold the users of a distributed application accountable for their behavior. The reputation of a user is computed as an aggregate of the feedback provided by fellow users in the system. Truthful feedback is clearly a prerequisite for computing a reputation score that accurately represents the behavior of a user. However, it has been observed that users can hesitate in providing truthful feedback because, for example, of fear of retaliation. Privacy-preserving reputation systems enable users to provide feedback in a private and thus uninhibited manner. In this survey, we propose analysis frameworks for privacy-preserving reputation systems. We use these analysis frameworks to review and compare the existing approaches. Emphasis is placed on blockchain-based systems as they are a recent significant development in the area. Blockchain-based privacy-preserving reputation systems have properties, such as trustlessness, transparency, and immutability, which prior systems do not have. Our analysis provides several insights and directions for future research. These include leveraging blockchain to its full potential in order to develop truly trustless systems, to achieve some important security properties, and to include defenses against common attacks that have so far not been addressed by most current systems.

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“…It is essential to describe here that blind signatures are mostly used in privacy-preserving protocols to achieve the anonymity of users (or signers) belonging to different parties [294]. In the Blockchain scenario, blind signatures are widely used in e-voting applications to achieve the security and privacy of voters and candidates [231,295].…”

Section: Signaturesmentioning

confidence: 99%

“…One way to overcome this problem is to use digital signatures in the voting process to validate voters' and candidates' authenticity. In addition, there are a variety of Blockchain-based e-voting applications designed to detect ballot stuffing attacks in the systems [295,354,355].…”

Section: Ballot Stuffing Attackmentioning

confidence: 99%

“…The same issue could occur in the Blockchain network if multiple miners try to collude with the network to get the maximum reward for their mining activities. To address collusion activity that occurred in Blockchain-based eHealth and eCommerce applications, [295,246] utilise pseudo-random methods in which the random seed is shared between two users in such a way that it can resist N-1 other fake users in the system.…”

Section: Collusion Attackmentioning

confidence: 99%

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A Taxonomy Study on Securing Blockchain-based Industrial Applications: An Overview, Application Perspectives, Requirements, Attacks, Countermeasures, and Open Issues

Hameed¹,

Barika²,

Garg³

et al. 2021

Preprint

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Blockchain technology has taken on a leading role in today's industrial applications by providing salient features and showing significant performance since its beginning. Blockchain began its journey from the concept of cryptocurrency and is now part of a range of core applications to achieve resilience and automation between various tasks. With the integration of Blockchain technology into different industrial applications, many application designs, security and privacy challenges present themselves, posing serious threats to users and their data. Although several approaches have been proposed to address the specific security and privacy needs of targeted applications with functional parameters, there is still a need for a research study on the application, security and privacy challenges, and requirements of Blockchain-based industrial applications, along with possible security threats and countermeasures. This study presents a state-of-the-art survey of Blockchain-based Industry 4.0 applications, focusing on crucial application and security and privacy requirements, as well as corresponding attacks on Blockchain systems with potential countermeasures. We also analyse and provide the classification of different security and privacy techniques used in these applications to enhance the advancement of security features. Furthermore, we highlight some open issues in industrial applications that help to design secure Blockchain-based applications as future directions.

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Decentralized Privacy Preserving Reputation System

Cited by 8 publications

References 16 publications

A taxonomy study on securing Blockchain-based Industrial applications: An overview, application perspectives, requirements, attacks, countermeasures, and open issues

A taxonomy study on securing Blockchain-based Industrial applications: An overview, application perspectives, requirements, attacks, countermeasures, and open issues

Privacy-Preserving Reputation Systems Based on Blockchain and Other Cryptographic Building Blocks: A Survey

A Taxonomy Study on Securing Blockchain-based Industrial Applications: An Overview, Application Perspectives, Requirements, Attacks, Countermeasures, and Open Issues

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