Securing Chemical Processing Plants using Isolation Forest Algorithm and IoT Sensors for Leakage Prevention

Chemical processing plants are essential to many different sectors of the economy, but they also pose risks to people and the environment in the event of accidents like chemical spills. Using the Isolation Forest algorithm in conjunction with IoT sensors for leakage prevention, this study investigates a new way to improve chemical processing facility security. It uses the Isolation Forest method, which is well-known for its anomaly detection capabilities, to spot suspicious patterns that might indicate leaks in real-time. This technology, when combined with an Internet of Things (IoT) sensor network strategically installed across the facility, offers a thorough monitoring solution that can identify and prevent leaks before they become serious. It highlights the flexibility of the Isolation Forest algorithm by discussing its application to chemical processing facilities. The IoT sensors may be integrated, highlighting how user can improve the security architecture as a whole via data collecting, communication, and coordination. Quick detection and prevention of chemical leaks is validated by results from simulation studies or real-world deployments of the proposed system. To discuss potential challenges, such the scalability of the system and the dependability of the sensors, and offers methods to make sure the security architecture is strong. Measures to evaluate the system's efficiency, include reaction time, isolation score, and detection accuracy. The potential issues to be addressed are system's flexibility and the sensors' accuracy to provide solutions to enhance the proposed security architecture.