Towards the Testbed and Dataset for Analysis of Water Treatment Systems Security

The security of cyber physical systems is highly relevant now. Due to tight connection between physical sensors of the technological processes and digital communication and control system, the cyber security attacks may have significant impact on the functioning of such systems. The data gathered from the sensors and actuators of the cyber physical system as well as the network traffic can indicate the attacker’s presence within the cyber physical system that results in the abnormal behavior of the system. To analyze normal behavior of such systems and detect abnormal behavior, including the behavior resulting from cyber attacks, the specific testbeds and datasets are required. In this research the authors consider the water treatment systems as one of the most essential systems for population. They propose the approach for the testbed development, gathering of the dataset incorporating records of normal and abnormal data and for the dataset validation. The gathered dataset will be used to develop and test cyber attack detection methods based on the machine learning and deep learning, and to strengthen the water treatment systems’ security.