Expert system based analysis method for Iot and IIot technologies

The transition to an information society, accelerated by the advancements brought about by Industry 4.0, has introduced significant flexibility, speed, and efficiency into human life through information technologies. However, this transition has also exposed new attack surfaces. Particularly in critical infrastructures where IoT and IIoT architectures are utilized, including smart grids and smart homes, these technologies have often been deployed without comprehensive cybersecurity analyses. The occurrence of cyberattacks over time has highlighted the critical importance of security assessments in these systems. This thesis focuses on examining the security vulnerabilities within IoT and IIoT systems and developing an expert system model aimed at mitigating these vulnerabilities. The initial phase of the study involves a detailed examination of the security weaknesses in the network topologies of IoT and IIoT systems. The analysis includes a review of various attack scenarios, providing an in-depth understanding of the nature of potential threats to IIoT systems. The core focus of the research is the investigation, development, and evaluation of an expert system-based attack detection method, assessing its effectiveness in addressing these security challenges.