Abstract
Abstract: In today’s digital age, ensuring cyber-security is critical to protecting computer systems, networks, devices, and programs against cyber threats. The proposed project intends to create a comprehensive cybersecurity system that uses machine learning techniques to detect and prevent fraudulent scams and phishing URLs. A large dataset of emails and messages will be collected and processed to extract key features using the Python programming language and its tools. These characteristics will be used as inputs for training and assessing a machine learning model, which will be trained and evaluated using labeled datasets specifically curated for fraudulent scams and phishing attempts. The research will entail optimizing and fine-tuning the machine learning model to improve its accuracy and efficacy in detecting fraudulent activities. The expected outcome of this project is an efficient and reliable cybersecurity solution that safeguards sensitive information and significantly reduces the risks associated with fraudulent scams and phishing attacks.
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