Optimizing Deep Neural Network using Enhanced Artificial Bee Colony Algorithm for an Efficient Intrusion Detection System
Mukul Soni, Mayank Singhal, Jatin Jatin, Rahul Katarya · 2022 2nd International Conference on Intelligent Technologies (CONIT) · 2022
Owing to ongoing rapid developments in network related technologies combined with the great surge in their usage, the methodologies for cyber-attacks like intrusions are also constantly modernizing leading to a greater rate of accuracy, effect and frequency of such network-related issues. In this research exercise, we establish an innovative and efficient methodology for Deep Learning-based solutions for Intrusion detection. To establish this, we propose a Deep Neural Network (DNN) trained by an Enhanced Artificial Bee Colony Algorithm for efficient and accurate intrusion detection over wireless and interconnected environments. This research effort constitutes a holistic and comparative analysis of the complete functionality and technicality of the proposed system. The proposed model performed much better than many other state-of-the-art models. Furthermore, the comprehensive explanation provided by this research can be leveraged into the development of more precocious and modern Intrusion Detection System.