Enhancing Cyber security Postures using Advanced Machine Learning Techniques: A Comprehensive Approach to Threat Detection and Mitigation
Objective
This research aims to enhance cybersecurity by applying advanced machine learning techniques—Random Forest, SVM, Stacking Classifier, and CNN to improve threat detection. It will develop a comprehensive framework integrating these methods, assess their performance across diverse datasets, and provide actionable insights for better cybersecurity integration and knowledge expansion.
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Specifications
Hardware Requirements:
Processor :I3/Intel Processor
Hard Disk :160GB
Key Board :Standard Windows Keyboard
Mouse :Two or Three Button Mouse
Monitor :Any
RAM :8GB
Software Requirements:
Operating System : Windows 7/8/10
ServerSide Technologies : HTML, CSS, Bootstrap, and JavaScript
Programming Language : Python
Libraries : Flask, Pandas, MySQL Connector, OS, Smtplib, Numpy
IDE/Development Environment : PyCharm
Technology Version : Python 3.6 or higher
Server Deployment : XAMPP Server
Database : MySQL
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