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Blockchain technology for cybersecurity: A text mining literature analysis

Publication Type : Journal Article

Publisher : Elsevier BV

Source : International Journal of Information Management Data Insights

Url : https://doi.org/10.1016/j.jjimei.2022.100112

Keywords : Blockchain technology, Cybersecurity, Vulnerability assessment, Text mining, Topic modeling, Literature analysis

Campus : Amritapuri

School : School of Computing

Year : 2022

Abstract : Blockchain, the technology infrastructure behind the famous cryptocurrency bitcoin, can take away the notion of trust from centralized organizations to a decentralized platform that is mathematically verifiable and cryptographically secure. It is gaining more significant momentum exponentially and disrupts the way businesses function beyond the digital currency aspects. This work presents a text mining literature analysis of research articles published in major digital libraries on blockchain technology and cybersecurity. This literature analysis employs automated text mining approaches such as topic modeling and keyphrase extraction for unearthing the themes from a vast body of literature. This analysis highlights the multidisciplinary nature of blockchain technology within the cybersecurity domain. The findings also show the cyber threats and vulnerabilities that evolve with blockchain technology developments. This analysis also showcases the computer security research community’s vulnerabilities and provides future research dimensions that are crucial for designing secure blockchain applications and platforms.

Cite this Research Publication : Ravi Prakash, V.S. Anoop, S. Asharaf, Blockchain technology for cybersecurity: A text mining literature analysis, International Journal of Information Management Data Insights, Elsevier BV, 2022, https://doi.org/10.1016/j.jjimei.2022.100112

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