A5093034633- Network Security and Intrusion Detection
- Advanced Malware Detection Techniques
- Energy, Environment, Economic Growth
- Global Energy and Sustainability Research
- Smart Grid Security and Resilience
- Metaheuristic Optimization Algorithms Research
- Energy, Environment, and Transportation Policies
- Anomaly Detection Techniques and Applications
National University of Malaysia
2023-2024
Ensuring the security of critical Industrial Internet Things (IIoT) systems is utmost importance, with a primary focus on identifying cyber-attacks using Intrusion Detection Systems (IDS). Deep learning (DL) techniques are frequently utilized in anomaly detection components IDSs. However, these models often generate high false-positive rates, and their decision-making rationale remains opaque, even to experts. Gaining insights into reasons behind an IDS's decision block specific packet can...
Energy-outlook from past to future specific years has become essential in energy-economy. Malaysia is a member of ASEAN (Association South-east Asian Nations), and increasing the use renewable energy by 2050 reduce carbon dioxide (CO2) emissions. Coal Malaysia's primary fossil fuel for generation, producing large amounts CO2 exacerbating greenhouse problems, including air pollution. Moreover, capacity increased significantly worldwide since 2020 during COVID-19 pandemic. Therefore, this...
Ensuring network security, particularly within the Industrial Internet of Things (IIoT), has become paramount with escalating reliance on applications across diverse sectors, emphasizing critical need for robust feature selection techniques in IIoT Intrusion Detection Systems (IDS). This paper introduces Improved Binary Spider Wasp Optimizer (IBSWO) algorithm to address this pressing need. By merging (SWO) Genetic Algorithms (GAs) and leveraging flat crossover, aims enhance efficacy....