Blockchain technology has the potential to revolutionize trust in digital transactions by shifting reliance from centralized third parties/authorities to blockchain due to its secure and encrypted decentralized structure. However, despite its security and decentralization, it has many vulnerabilities, which can compromise its integrity and security. This paper uses text mining and topic mining, particularly Latent Dirichlet Allocation (LDA), rapid automatic keyword extraction (RAKE), and BERTopic, to extract and analyze keywords from 833 cybersecurity research articles. This study utilizes top-down and bottom-up analysis to research the interplay between blockchain and cybersecurity, particularly focusing on the vulnerabilities inherent to blockchain systems. There is a strong correlation between previous cybersecurity research and blockchain technology vulnerabilities. Blockchain remains prone to cyber attacks, such as Denial of Service (DoS) and Cross-Site Scripting (XSS). In particular, many of blockchain’s vulnerabilities lie in its consensus algorithms (Proof-of-Work in many cases). Future blockchain research is needed to expose vulnerabilities and safeguard existing and future blockchain networks.
