Abstract
The subject of the study is cryptocurrencies and the analysis of the types of cryptocurrency risks. Cryptocurrencies significantly affect the technology world of fiat money, which dates back at least 800 years. Cryptocurrency is a digital asset that employs distributed ledger or blockchain technology to enable transactions. Digital currency, on the other hand, is a type of currency in the digital world in the form of digital forms of electronic equipment. A synonym for digital cash, digital money, electronic money, and cyber-money is the terms. Non-Fungible Token (NFTs), Defi tokens, and cryptocurrencies are examples of kinds in the blockchain industry. The paper analyzes the twenty research papers by using PRISMA. As a result of the study, the risk of digital transactions is increasing, and there is no trust. Moreover, the electronic economy is precarious. And it must be handled with extreme caution to avoid or minimize the problems that may arise. Shortly, Private cryptocurrencies will be subjected to a ferocious reconfiguration, and blockchain implementations will spread out at a visible rate as long as payments are made for digital innovation. Again, bitcoin fraud research is fast expanding in volume and breadth but is still at an early stage.
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Change history
12 March 2023
In an earlier published version of this paper, a part of the acknowledgement was missing. This has now been corrected.
The correction chapter and the book has been updated with the change.
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Acknowledgements
The authors would like to thank the anonymous reviewers for their insightful comments and suggestions to improve the clarity and quality of the paper. This work was supported by the Deenship of Scientific Research, Vice Presidency for Graduate Studies and Scientific Research, King Faisal University, Saudi Arabia, [Grant No. GRANT818].
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Almuqren, A., Bukhowah, R., Hafizur Rahman, M.M. (2023). A Review on Risk Analysis of Cryptocurrency. In: Jacob, I.J., Kolandapalayam Shanmugam, S., Izonin, I. (eds) Data Intelligence and Cognitive Informatics. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-19-6004-8_58
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