This research/study/investigation presents a novel deep learning framework/architecture/system for enhancing/improving/strengthening intrusion detection in Internet of Things (IoT) networks/systems/environments. The proposed methodology/approach/algorithm leverages deep/convolutional/recurrent neural networks to analyze/process/interpret network tr

Traditional intrusion detection systems face challenges in identifying sophisticated and evolving cyber threats. In response to this growing challenge, a novel approach leveraging the power of deep learning techniques has emerged as a promising solution. This method utilizes complex neural networks to analyze system logs, network traffic, and user

At the end/culmination/apex of their academic journey, aspiring computer scientists embark on a monumental/ambitious/inspiring undertaking known as the capstone project. This rigorous/challenging/intensive final year endeavor allows students to apply/demonstrate/integrate their theoretical knowledge and practical skills in developing/creating/const