Journal of Cybersecurity and Information Management JCIM 2690-6775 2769-7851 10.54216/JCIM https://www.americaspg.com/journals/show/2735 2019 2019 Hindusthan Institute of Technology, Coimbatore, India R. R. Department of Computer Science and Engineering, Hindusthan Institute of Technology, Coimbatore, India D. Jayasutha Assistant Professor, Sri Krisha College of Technology, Coimbatore, India Indu Nair. V. Department of Mechanical Engineering, Government College of Engineering, Erode - 638 316, India R. Senthilraja Professor of Civil Engineering , Kaaf University College, Accra, Ghana Subash Thanappan Department of ECE, Sri Krishna College of Technology Coimbatore, India Ramya. S. DT digital twin technology has become an essential tool in hydraulic systems. It not only offers a virtual representation of the actual plant, but also real-time monitoring and optimization of that same machinery. Digital Twin (DT) technology has become a cornerstone in the optimization of industrial processes, particularly in the domain of hydraulic systems. For example, this research aims to use digital twin technology to detect and fix leaks in hydraulic systems. By integrating advanced simulation algorithms for accurate leak detection and performance enhancement, this study presents a comprehensive framework. Combining techniques developed from both data-driven and state-of-the-art optimization methods our approach looks to change how leaks are detected in hydraulics. Our test introduces a comprehensive framework that not only accurately identifies leaks but also employs advanced simulation algorithms for subsequent performance enhancement. By bringing together data-driven insights and cutting-edge optimization methods, our work at the frontier of revolutionizing leak detection in hydraulic systems. 2024 2024 50 65 10.54216/JCIM.130204 https://www.americaspg.com/articleinfo/2/show/2735