Review
Computer Science, Information Systems
Bahareh Lashkari, Petr Musilek
Summary: This article provides a comprehensive review of the fundamentals of distributed ledger and its variants, with a comparative analysis of 130 consensus algorithms in different application domains. It also analyzes the evolution of consensus mechanisms and envisions future prospects for consensus as a crucial part of distributed ledger technology.
Article
Automation & Control Systems
Dongliang Xu, Wei Shi, Wensheng Zhai, Zhihong Tian
Summary: This study proposes a multi-candidate voting model based on blockchain technology, which solves the problems in traditional electronic voting by introducing encryption and anonymity protection algorithms, displaying real-time voting results while satisfying voting security and privacy requirements.
IEEE-CAA JOURNAL OF AUTOMATICA SINICA
(2021)
Article
Mathematics
Mongetro Goint, Cyrille Bertelle, Claude Duvallet
Summary: Data access control is crucial in data management, and blockchain is widely used for managing consent. However, due to its characteristics, blockchain is not suitable for storing large volumes of data and often requires off-chain systems. This article proposes a securing mechanism based on data encryption to protect off-chain storage in blockchain-based consent systems.
Article
Computer Science, Information Systems
Ali Mohsenzadeh, Amir Jalaly Bidgoly, Yaghoub Farjami
Summary: This paper presents a novel framework for selecting members' transactions through trust and reputation models, called the reputation-based consensus framework (RCF), in distributed ledger technology (DLT) such as blockchain. The framework combines trust and reputation models with blockchain to select the target node with the highest reputation based on its transaction history. The results show that RCF leads to fair selection of transactions, improves scalability and throughput, and provides resistance against attacks.
COMPUTER COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Parul Khurana, Kiran Sharma, Kiran Khatter
Summary: The research proposes a distributed ledger-based consensus mechanism for the presentation of authors' informetrics. The mechanism aims to establish trust and relationships among authors and stakeholders, showcasing the development of decentralized applications.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Shahid Hussain Danwar, Javed Ahmed Mahar, Aneela Kiran
Summary: This article discusses the problems and solutions of the electoral process in Pakistan, focusing on the proposal of an e-voting system with blockchain technology. The framework integrates with the national database and registration authority to ensure the validity of voters and considers fundamental requirements. Performance evaluation results are provided, supporting decision makers in implementing an e-voting system in Pakistan.
CMC-COMPUTERS MATERIALS & CONTINUA
(2022)
Article
Computer Science, Artificial Intelligence
Ernestas Filatovas, Marco Marcozzi, Leonardo Mostarda, Remigijus Paulavicius
Summary: Blockchain is a disruptive technology that has gained significant attention and has led to the development of other Distributed Ledger Technologies (DLTs). Selecting the most suitable consensus protocol for a specific DLT system is crucial yet challenging.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Computer Science, Information Systems
Yibin Xu, Jianhua Shao, Tijs Slaats, Boris Dudder
Summary: Blockchain sharding splits a blockchain into shards, reaching consensus at the shard level. However, reliable consensus derivation becomes a challenge as traditional mechanisms are no longer applicable. This article proposes a new consensus protocol called MWPoW+ to address these issues.
ACM TRANSACTIONS ON INTERNET TECHNOLOGY
(2023)
Review
Multidisciplinary Sciences
Damilare Peter Oyinloye, Je Sen Teh, Norziana Jamil, Moatsum Alawida
Summary: Blockchain networks are built on cryptographic notions, with mainstream protocols having drawbacks while alternative consensus protocols remain relatively unknown. These protocols offer unique merits for development of future consensus protocols.
Article
Computer Science, Hardware & Architecture
J. Andrew, Deva Priya Isravel, K. Martin Sagayam, Bharat Bhushan, Yuichi Sei, Jennifer Eunice
Summary: Blockchain has gained popularity due to its data integrity and wide range of applications. It has provided the foundation for cryptocurrencies like Ripple, Bitcoin, Ethereum, etc. Blockchain offers a decentralized and trustworthy platform for various applications such as finance, commerce, IoT, reputation systems, and healthcare. However, there are still challenges in terms of scalability, resilience, security, and privacy that need to be addressed.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Tripti Rathee, Parvinder Singh
Summary: This paper is a systematic literature review on Identity Management (IdM) in blockchain. It focuses on reviewing the challenges faced in IdM over the years and how blockchain has addressed these challenges. The paper provides insights into the research trends, challenges, frameworks, initiatives, consensus algorithms, and research projects in the field of IdM using blockchain.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Green & Sustainable Science & Technology
Amit Patwardhan, Adithya Thaduri, Ramin Karim
Summary: The paper discusses the importance of digitalization for achieving operational excellence and meeting stakeholders' needs in the railway industry, emphasizing the critical roles of digital infrastructure and cybersecurity. It also addresses the challenges presented by governance, business, and technical aspects, and provides a taxonomy of issues and challenges for developing a secure and resilient data sharing framework for railway stakeholders.
Article
Computer Science, Information Systems
Robin Singh Bhadoria, Arka Prabha Das, Abul Bashar, Mohammed Zikria
Summary: This paper discusses the adoption of blockchain technology in elections, emphasizing the importance of its security and transparency in enhancing democratic elections.
Article
Computer Science, Information Systems
Sudhani Verma, Divakar Yadav, Girish Chandra
Summary: As the size of data grows exponentially, ensuring its security has become a major concern. Blockchain, as an emerging technology, is being widely used to provide security to systems. This study extensively discusses the importance of consensus techniques and protocols in blockchain technology, as well as the role of formal methods in developing correct blockchain-based systems.
Article
Computer Science, Information Systems
Mohammad Dabbagh, Kim-Kwang Raymond Choo, Amin Beheshti, Mohammad Tahir, Nader Sohrabi Safa
Summary: This paper surveys the existing empirical performance evaluations of different permissioned blockchain platforms published between 2015 and 2019, using a comparative framework that considers security, privacy, and performance. Potential future research directions are also discussed in the conclusion.
COMPUTERS & SECURITY
(2021)
Proceedings Paper
Tom Hope, Ronen Tamari, Hyeonsu Kang, Daniel Hershcovich, Joel Chan, Aniket Kittur, Dafna Shahaf
Summary: Large repositories of products, patents, and scientific papers provide an opportunity to build systems that support creative innovation and inspiration. However, the lack of key structure in the form of unstructured text idea descriptions hinders effective innovation interactions. This study introduces a novel representation that automatically breaks down products into fine-grained functional aspects, improving the quality of creative search and exploration.
PROCEEDINGS OF THE 2022 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI' 22)
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Ronen Tamari, Fan Bai, Alan Ritter, Gabriel Stanovsky
Summary: PEG is a document-level representation of real-world wet lab biochemistry protocols, annotated manually in a corpus with a novel interactive textual simulator. Graph-prediction models are developed using this data, showing good performance in entity identification and local relation extraction. The corpus enables further exploration of challenging long-range relations.
16TH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (EACL 2021)
(2021)