# Comprehensive list of academic and technical references supporting the research

1. Nakamoto, S. (2008). Bitcoin: A Peer-to-Peer Electronic Cash System. <https://bitcoin.org/bitcoin.pdf>.
2. Wood, G. (2014). Ethereum: A Secure Decentralised Generalised Transaction Ledger. Ethereum Project Yellow Paper.
3. Zhou, Y., Kumar, N., Bakshi, S., & Mason, J. (2019). Machine Learning Techniques in Blockchain: A Survey. In Proceedings of the 2019 ACM Southeast Conference (ACM SE '19). Association for Computing Machinery.
4. Alpaydin, E. (2020). Introduction to Machine Learning (4th ed.). MIT Press.
5. Bishop, C. M. (2006). Pattern Recognition and Machine Learning. Springer.
6. Miers, I., Garman, C., Green, M., & Rubin, A. D. (2013). Zerocoin: Anonymous Distributed E-Cash from Bitcoin. In 2013 IEEE Symposium on Security and Privacy.
7. Witten, I. H., Frank, E., Hall, M. A., & Pal, C. J. (2016). Data Mining: Practical Machine Learning Tools and Techniques (4th ed.). Morgan Kaufmann.
8. James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An Introduction to Statistical Learning with Applications in R. Springer.
9. Antonopoulos, A. M. (2014). Mastering Bitcoin: Unlocking Digital Cryptocurrencies. O'Reilly Media.
10. Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.
11. Kelleher, J. D., & Tierney, B. (2018). Data Science. MIT Press.
12. Lin, T., Rivest, R. L., Shamir, A., & Wagner, D. A. (1998). Efficient Collision Search Attacks on SHA-0. In Proceedings of the 17th Annual International Cryptology Conference on Advances in Cryptology.
13. Swan, M. (2015). Blockchain: Blueprint for a New Economy. O'Reilly Media.
14. Tama, B. A., & Rhee, K. H. (2017). A critical review of blockchain and its current applications. In 2017 International Conference on Electrical Engineering and Computer Science (ICECOS).
15. Yaga, D., Mell, P., Roby, N., & Scarfone, K. (2018). Blockchain Technology Overview. National Institute of Standards and Technology Internal Report 8202.


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