A blockchain based Trusted Persistent Identifier system for Big Data in Science

Bellini, Emanuele

doi:10.2478/fcds-2019-0018

Cited by 10 publications

(6 citation statements)

References 35 publications

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“…This would provide a layer of records "security" to our DDPH proposal. Their stability, transparency and decentralization make blockchain technology attractive and promising for use in scientific communication (Bellini, 2019). An author's manuscript can be considered as a digital asset that is transferred (transaction) between different participants in the scientific publication process, and all details of the asset transfers and actions agreed upon by participants will be securely recorded in 'smart contracts'.…”

Section: Strengths and Weaknesses Of The Doi And Competing Data Stora...mentioning

confidence: 99%

Publication History: A Double-DOI-Based Method for Storing and/or Monitoring Information about Published and Corrected Academic Literature

Silva¹,

Nazarovets

2022

Journal of Scholarly Publishing

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The status of published literature can change at any time in its history following publication, although existing structures in academic publishing for recording these changes, despite the existence of a number of robust tools—such as the digital object identifier (DOI)—appear to be insufficiently robust, or used too inconsistently or inefficiently, to deal with multiple corrections. In this article, an information storage method and corrective measure or tool is proposed—the ‘publication history’—that considers the full history and background of an article’s publication. The ‘publication history’ is adjusted to record changes to an article over time, and is thus a ‘live’ document, always open to modification and updating. The ‘publication history’ has the potential to accommodate, in a single document (in both PDF and HTML format), information about pre-publication (e.g., preprints) and post-publication events, including submission, resubmission, acceptance date, handling editors, peer-review format, corrections, expressions of concern, and retractions. The ‘publication history’ employs two DOIs, one for the article and one for any and all edits, to document these changes. Our proposal offers one possible solution for fortifying the integrity of peer review and the publication process pre- and post–peer review. The double-DOI-based ‘publication history’ can be applied to any document.

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Section: Strengths and Weaknesses Of The Doi And Competing Data Stora...mentioning

confidence: 99%

Publication History: A Double-DOI-Based Method for Storing and/or Monitoring Information about Published and Corrected Academic Literature

Silva¹,

Nazarovets

2022

Journal of Scholarly Publishing

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“…Hence, DLTs implement a level of transparency, traceability, and security by design [52]. These properties make them suitable to be a technology that enhances security, privacy, and trustworthiness in very diverse contexts such as in IoT [53]- [55], voting system [56], machine-to-machine environments [57], and persistent identifier systems [58].…”

Section: Distributed Ledger Technologymentioning

confidence: 99%

Blockchain-Based Distributed Trust and Reputation Management Systems: A Survey

2020

Self Cite

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Distributed Ledger Technologies (DLTs), like Blockchain, are characterized by features such as transparency, traceability, and security by design. These features make the adoption of Blockchain attractive to enhance information security, privacy, and trustworthiness in very different contexts. This paper provides a comprehensive survey and aims at analyzing and assessing the use of Blockchain in the context of Distributed Trust and Reputation Management Systems (DTRMS). The analysis includes academic research as well as initiatives undertaken in the business domain. The paper defines two taxonomies for both Blockchain and DTRMS and applies a Formal Concept Analysis. Such an approach allowed us to identify the most recurrent and stable features in the current scientific landscape and several important implications among the two taxonomies. The results of the analysis have revealed significant trends and emerging practices in the current implementations that have been distilled into recommendations to guide Blockchain's adoption in DTRMS systems. INDEX TERMS Blockchain, distributed ledger technology, distributed reputation management system, distributed trust management system, formal concept analysis, security, taxonomy.

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“…Some other works in [20][21][22] create a tamper-proof ledger that is delivered among all participants. This technique can the data recorded in the ledger safe from illegally changing by the other unauthorized users and is applied in a diversity of contexts as in voting system [24], machine-to-machine environment [23], and identifier systems [25]. Another work that is the closest to our work is [7].…”

Section: Related Workmentioning

confidence: 99%

Crystal: A Privacy-Preserving Distributed Reputation Management

Tran¹,

Nguyen²,

Nguyen³

et al. 2021

Natural Language Processing

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This paper investigates the situation in which exists the unshared Internet in specific areas while users in there need instant advice from others nearby. Hence, a peer-to-peer network is necessary and established by connecting all neighbouring mobile devices so that they can exchange questions and recommendations. However, not all received recommendations are reliable as users may be unknown to each other. Therefore, the trustworthiness of advice is evaluated based on the advisor's reputation score. The reputation score is locally stored in the user’s mobile device. It is not completely guaranteed that the reputation score is trustful if its owner uses it for a wrong intention. In addition, another privacy problem is about honestly auditing the reputation score on the advising user by the questioning user. Therefore, this work proposes a security model, namely Crystal, for securely managing distributed reputation scores and for preserving user privacy. Crystal ensures that the reputation score can be verified, computed and audited in a secret way. Another significant point is that the device in the peer-to-peer network has limits in physical resources such as bandwidth, power and memory. For this issue, Crystal applies lightweight Elliptic Curve Cryptographic algorithms so that Crystal consumes less the physical resources of devices. The experimental results prove that our proposed model performance is promising.

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A blockchain based Trusted Persistent Identifier system for Big Data in Science

Cited by 10 publications

References 35 publications

Publication History: A Double-DOI-Based Method for Storing and/or Monitoring Information about Published and Corrected Academic Literature

Publication History: A Double-DOI-Based Method for Storing and/or Monitoring Information about Published and Corrected Academic Literature

Blockchain-Based Distributed Trust and Reputation Management Systems: A Survey

Crystal: A Privacy-Preserving Distributed Reputation Management

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