A holistic framework for process safety and security analysis

Abstract

System safety analysis is crucial for preventing losses. To prevent losses, modern safety analysis tools need to capture both safety and security-related risks. This work proposes a holistic safety and security analysis framework that considers both the intentional and unintentional causation of risks. At first, the threats to a process system are identified, followed by analyzing the factors that may lead to these threats. Then the mechanisms to neutralize threats using safeguards are discussed. These steps are modelled in a Bayesian network (BN) framework to capture the probabilistic nature of the events and associated factors. The BN model is used to analyze the real-time risk. The proposed framework is used to study four scenarios. A comparison with previous works confirms that the proposed framework provides better understanding and analysis capabilities. This work will serve as a reference point for further development in integrated safety and security analysis.