SeCrowd: Efficient secure interactive crowdsourcing via permission-based signatures

Chen, Jing; Chen, Jiong; He, Kun; Du, Ruxu

doi:10.1016/j.future.2020.09.033

Cited by 6 publications

(2 citation statements)

References 30 publications

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“…The security analysis included a comparison of the properties (e.g. anonymous, fair, accountable) of the proposed system with several other crowdsourcing systems [50] [51] [52] [53] [54]. Aside from the security analysis, the authors did not include other analyses including the performance analysis.…”

Section: General (Multiple Use Cases)mentioning

confidence: 99%

Systematic Review: Comparing zk-SNARK, zk-STARK, and Bulletproof Protocols for Privacy-Preserving Authentication

El-Hajj,

Roelink,

Sarmah

2024

Preprint

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This systematic literature review scrutinizes the implementation and analysis of zk-SNARK, zk-STARK, and Bulletproof non-interactive zero-knowledge proof (NIZKP) protocols in privacy-preserving applications across diverse sectors. Examining 43 research works published from 2015 to April 2023, we categorized findings into financial, medical, business, general, and other domains. Our analysis highlights significant variations in real-world performance across implementations utilizing NIZKP protocols. However, divergent methodologies in security analyses hindered conclusive comparisons. Addressing research gaps, our future endeavors aim to establish a real-world benchmark for these protocols.

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Section: General (Multiple Use Cases)mentioning

confidence: 99%

Systematic Review: Comparing zk-SNARK, zk-STARK, and Bulletproof Protocols for Privacy-Preserving Authentication

El-Hajj,

Roelink,

Sarmah

2024

Preprint

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“…It is possible to define this technology as a sourcing system in which organizations and/or individuals collect from a huge group of participants large amounts of data related to citizen ideas by means of voting, with multiple microtask modules and/or with big data; with interviews and surveys that seek to reconstruct or promote the identity of a brand, among others [15]- [17]. It works with collaborative applications [18] that can be non-interactive and interactive among users [19], includes Machine Learning techniques [20], and it is relatively open and often evolves rapidly [15].…”

Section: B Blockchain Based Crowdsourcing Systemmentioning

confidence: 99%

Boosting the Decision-Making in Smart Ports by Using Blockchain

et al. 2021

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Blockchain technology (BC) offers an innovation platform for decentralized and transparent transactions in the maritime port industry. This technology allows guaranteeing trust, transparency and traceability of cargo and data to be tracked. Today, in the port systems of emerging market countries, BC technology is increasingly being incorporated into information and communication processes. In parallel, the social domain has begun to be explored due to the lack of link between the port and the city it occupies, and the need to incorporate public actors in decision-making at the governance level. In this sense, the present work aims to promote BC technology in order to transform data and information into useful knowledge for effective decision making, through the use of Crowdsourcing. A Crowdsourcing Blockchain (CrowdBC) conceptual framework and its architecture are generated for a port system in which the cybertechnological, social and cognitive domains (CSTC) of smart ports, the knowledge generation process and Crowdsourcing technology are interrelated. Finally, opportunities are discussed for ports that are in permanent development to reduce the gaps with the smart industry. As a discussion, two possible scenarios and recommendations for future implementations that consider the social and cognitive aspects of Industry 4.0 are presented.

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Systematic review: Comparing zk‐SNARK, zk‐STARK, and bulletproof protocols for privacy‐preserving authentication

Oude Roelink,

El‐Hajj,

Sarmah

2024

Security and Privacy

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This systematic literature review examines the implementation and analysis of zk‐SNARK, zk‐STARK, and bulletproof non‐interactive zero‐knowledge proof (NIZKP) protocols in privacy‐preserving applications across diverse sectors. Examining 41 research works obtained through the systematic search queries and filtering criteria published from 2015 to April 2023, we categorized findings into financial, medical, business, general, and other domains. Our analysis highlights significant variations of up to several orders of magnitude in real‐world performance across implementations utilizing NIZKP protocols. However, divergent methodologies in security analyses hindered conclusive comparisons. Addressing research gaps, our future endeavors aim to establish a real‐world benchmark for these protocols.

show abstract

SeCrowd: Efficient secure interactive crowdsourcing via permission-based signatures

Cited by 6 publications

References 30 publications

Systematic Review: Comparing zk-SNARK, zk-STARK, and Bulletproof Protocols for Privacy-Preserving Authentication

Systematic Review: Comparing zk-SNARK, zk-STARK, and Bulletproof Protocols for Privacy-Preserving Authentication

Boosting the Decision-Making in Smart Ports by Using Blockchain

Systematic review: Comparing zk‐SNARK, zk‐STARK, and bulletproof protocols for privacy‐preserving authentication

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