Abstract
Nowadays there are increase in fraudulent activities within cryptocurrencies transactions. To combat this, we propose a novel framework that integrates machine learning methodologies with the SHA-256 algorithm to enhance security and predict price fluctuations. This framework aims to provide a comprehensive solution for preventing fraudulent activities in cryptocurrencies transactions contributing to a more secure.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: International Journal of Scientific Research in Science, Engineering and Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.