Impact of Artificial Intelligence and Cyber Security as Advanced Technologies on Bitcoin Industries
Keywords:
Artificial Intelligence, Bitcoin, data privacy, Impact, CybersecurityAbstract
This review article investigates the relationship between Bitcoin and artificial intelligence (AI), as well as any potential consequences on the Bitcoin market. Also included are any implications for the future of the cryptocurrency. The literature review focuses on the existing research on the relationships between artificial intelligence technology and Bitcoin, and it provides an overview of both of these businesses. This research investigates the potential impacts that AI might have on the Bitcoin industry, including improved user experiences, better levels of transactional security, and enhanced operational efficiencies. The paper also analyses the challenges that occur from applying AI to the Bitcoin industry in terms of the rules and regulations, data security and privacy, and trust that exist in the sector. In recent years, cryptocurrencies have emerged as a dominant form of digital money, and the financial system itself has evolved into an increasingly important component in this space. In order to reduce the amount of risk that is associated with investing, certain approaches that are based on artificial intelligence are required to predict price and trend, as well as to design portfolios and identify fraudulent activity. Along with recent research on AI-based strategies for cryptocurrencies, the most well-known cryptocurrency, Bitcoin, is explored in this article. The articles that were determined to be the most relevant were assessed, and this page addresses the bulk of those publications. This contains research on Bitcoin and other cryptocurrencies, as well as techniques of machine learning such as SVM, ANN, LSTM, and GRU.
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References
Sammut-Bonnici, T., &Wensley, R. (2018). Artificial intelligence in strategic management: A systematic literature review. International Journal of Management Reviews, 20(4), 855-875. https://doi.org/10.1111/ijmr.12184
Phasinam, K., Kassanuk, T., Shinde, P. P., Thakar, C. M., (2022). Application of IoT and Cloud Computing in Automation of Agriculture Irrigation. Journal of Food Quality, 2022, Article ID 8285969, 8 pages. https://doi.org/10.1155/2022/8285969
Yao, Y., Zhong, R. Y., & Huang, G. Q. (2019). Understanding blockchain technology adoption in supply chains: Evidence from Chinese logistics firms. International Journal of Production Research, 57(7), 2177-2191. https://doi.org/10.1080/00207543.2018.1547221
Peters, G. W., Panayi, E., &Chapados, N. (2018). Trends in Crypto-Currencies and Blockchain Technologies: A Monetary Theory and Regulation Perspective. Journal of Financial Perspectives, 6(3), 1-18. https://doi.org/10.2139/ssrn.3247853
Li, M., Li, X., Wu, Q., Li, C., & Wang, X. (2020). Blockchain-Enabled Smart Contract for Supply Chain Traceability: An Empirical Study of Perceived Risk and Trust. International Journal of Information Management, 50, 256-267. https://doi.org/10.1016/j.ijinfomgt.2019.11.009
A. Feder, N. Gandal, J. T. Hamrick, and T. Moore, “The impact of DDoS and other security shocks on Bitcoin currency exchanges: Evidence from Mt. Gox,” Journal of Cybersecurity, 2017.
Kshetri, N. (2018). Blockchain’s Roles in Meeting Key Supply Chain Management Objectives. International Journal of Information Management, 39, 80-89.
Wang, L., & Wang, Y. (2020). Blockchain Technology in Smart Healthcare: Literature Review, Taxonomy and Future Research Directions. Journal of Medical Systems, 44(9), 157. https://doi.org/10.1007/s10916-020-01569-3
Brands E, Rajagopal R, Eleswarapu U, Li P (2017) Groundwater In: International Encyclopedia of Geography: People, the Earth, Environment and Technology Wiley, Oxford, UK, pp 1–17
K. Oosthoek and C. Doerr, “SoK: ATT&CK Techniques and Trends in Windows Malware,” in 15th EAI International Conference, SecureComm 2019, Proceedings, 2019. [Online].
Neha Sharma, P. William, Kushagra Kulshreshtha, Gunjan Sharma, Bhadrappa Haralayya, Yogesh Chauhan, Anurag Shrivastava, “Human Resource Management Model with ICT Architecture: Solution of Management & Understanding of Psychology of Human Resources and Corporate Social Responsibility”, JRTDD, vol. 6, no. 9s(2), pp. 219–230, Aug. 2023.
William, P., Shrivastava, A., Chauhan, P.S., Raja, M., Ojha, S.B., Kumar, K. (2023). Natural Language Processing Implementation for Sentiment Analysis on Tweets. In: Marriwala, N., Tripathi, C., Jain, S., Kumar, D. (eds) Mobile Radio Communications and 5G Networks. Lecture Notes in Networks and Systems, vol 588. Springer, Singapore. https://doi.org/10.1007/978-981-19-7982-8_26
K. Maheswari, P. William, Gunjan Sharma, Firas Tayseer Mohammad Ayasrah, Ahmad Y. A. Bani Ahmad, Gowtham Ramkumar, Anurag Shrivastava, “Enterprise Human Resource Management Model by Artificial Intelligence to Get Befitted in Psychology of Consumers Towards Digital Technology”, JRTDD, vol. 6, no. 10s(2), pp. 209–220, Sep. 2023.
Kumar, A., More, C., Shinde, N. K., Muralidhar, N. V., Shrivastava, A., Reddy, C. V. K., & William, P. (2023). Distributed Electromagnetic Radiation Based Renewable Energy Assessment Using Novel Ensembling Approach. Journal of Nano-and Electronic Physics, 15(4).
William, P., Shrivastava, A., Shunmuga Karpagam, N., Mohanaprakash, T.A., Tongkachok, K., Kumar, K. (2023). Crime Analysis Using Computer Vision Approach with Machine Learning. In: Marriwala, N., Tripathi, C., Jain, S., Kumar, D. (eds) Mobile Radio Communications and 5G Networks. Lecture Notes in Networks and Systems, vol 588. Springer, Singapore. https://doi.org/10.1007/978-981-19-7982-8_25
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