Abstract:
This thesis explores the vulnerabilities and defense mechanisms of Supervisory Control and Data Acquisition (SCADA) systems. It is consolidated with a focus on Linux virtual machine environments. SCADA systems are critical for industrial automation and control. It is making them prime targets for cyber-attacks. The research encompasses a comparative analysis of various SCADA testbeds. This to identify the most effective platform for simulating and testing security measures.
Additionally, the study investigates common SCADA attack vectors. Also evaluates
different types of SCADA malware. We aim providing a comprehensive understanding of the threats faced by these systems. By simulating attacks and deploying malware in a controlled environment, the research assesses the effectiveness of various defense mechanisms. It is including intrusion detection systems and network segmentation techniques. The findings aim to inform the development of more resilient SCADA systems. Also enhance the overall security posture of industrial control environments.
