Recent advances in blockchain technology: A survey on applications and challenges

Saqib Hakak, Wazir Zada Khan, Gulshan Amin Gilkar, Basem Assiri, Mamoun Alazab, Sweta Bhattacharya, G. Thippa Reddy

    Research output: Contribution to journalReview articlepeer-review

    20 Citations (Scopus)

    Abstract

    The rise of blockchain technology within a few years has attracted researchers across the world. The primary reason for worldwide attention is undoubtedly due to its feature of immutability along with the decentralised approach of data protection. As this technology is progressing, lots of developments in terms of identifying new applications, blockchain-based platforms, consensus mechanisms, etc., are taking place. Hence, in this article, an attempt has been made to review the recent advancements in blockchain technology. Furthermore, we have also explored the available blockchain platforms, highlighted and explored future research directions and challenges.

    Original languageEnglish
    Pages (from-to)82-100
    Number of pages19
    JournalInternational Journal of Ad Hoc and Ubiquitous Computing
    Volume38
    Issue number1-3
    DOIs
    Publication statusPublished - 2021

    Bibliographical note

    Funding Information:
    Sweta Bhattacharya is currently associated with Vellore Institute of Technology (University), as an Assistant Professor in the School of Information Technology and Engineering. She received her PhD degree from Vellore Institute of Technology and Master’s degree in Industrial and Systems Engineering from State University of New York, Binghamton, USA. She has guided various UG and PG projects and published peer reviewed research articles. She is also a member of the Computer Society of India and Indian Science Congress. Her research experience includes working on Pill Dispensing Robotic Projects, as a fully funded Watson Research Scholar at Innovation Associates, Binghamton at SUNY. She has completed Six Sigma Green Belt Certification from Dartmouth College, Hanover. Her research interests include applications of machine learning algorithm, data mining, simulation and modelling, applied statistics, quality assurance and project management.

    Publisher Copyright:
    Copyright © 2021 Inderscience Enterprises Ltd.

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