Document Type
Thesis
First Faculty Advisor
Dr. Ramesh Mohan
Second Faculty Advisor
Dr. Ferdous Sardar
Keywords
cryptocurrency price predicition and security using machine learning; AI
Publisher
Bryant University
Rights Management
CC-BY-NC-ND; CC-BY; CC-BY-SA; CC-BY-ND; CC-BY-NC-SA; CC-BY-NC
Abstract
Cryptocurrency, a digital currency secured by cryptography, has soared in popularity since the introduction of Bitcoin in 2009. While offering benefits like decentralization and faster transactions, it also faces challenges such as security threats and market volatility. Artificial intelligence (AI) presents a promising solution to enhance security and predict trends in the cryptocurrency market. This thesis explores how AI can be utilized to strengthen the security of cryptocurrency transactions and predict market trends. By analyzing current security measures, AI-driven approaches, and predictive models, this study aims to contribute to the development of innovative solutions for navigating cryptocurrency.
Comments
This thesis was completed as part of the Honors Program at Bryant University under the supervision of Professor Dr. Ramesh Mohan. Conducted between 2024 and 2025, the research applies AI models to enhance cryptocurrency trend prediction and security, and it has not been previously published.