Real-Time Incident Detection and Response with Isolation Forest Algorithm and Cloud Infrastructure
Chethan Chandra S Basavaraddi, Chitra Sabapathy Ranganathan, K. Sindhuja, N. Mohankumar, M. Jagadeeswaran, S. Murugan · 2024
This research proposes an innovative approach to make incineration facilities more secure using the Isolation Forest algorithm and cloud infrastructure to identify and respond to real-time incidents. Incineration plants present special security concerns because of the high-stakes nature of their work and the dangers to people and the environment that may result from an incident. Traditional security procedures aren't always quick enough to respond to new dangers. Using the Isolation Forest method to identify anomalies in operational data streams provides a proactive security system. Using a cloud-based architecture, it accomplishes the scalability, flexibility, and real-time processing capabilities necessary for quick threat detection and response. It shows that methods successfully detect anomalous occurrences with few false positives and confirm it experimentally using data from simulated incineration facilities. Real-world consequences architecture may be integrated with current security systems to protect vital infrastructure and improve incident reaction times. It provides a thorough solution to the rising security risks in incineration plants, advancing their security posture.