This paper proposes two methods for ensuring the confidentiality of information transmitted to cloud services when processing the operational production schedule. The first method consists of the consistent classification of critical information and the depersonalization of symbolic parameters, which may be personal or com- mercial secret, concerning the type of anonymized data. The second method, as an additional gain, involves homomorphic encryption of numerical parameters.

The paper addresses the problem of protecting and identification of attacks in control systems. The problem is solved by the use of the asymmetric RSA encryption algorithm. Analysis influence of encryption on control process and impact of discretization on quality of control are performed. The research is considered for the class of linear controllers. The effectiveness of the method is demonstrated in simulation of control system under a false data injection attack.

In this paper, authors investigated the market of cyber-physical systems for pipeline diagnostics, revealed the features of the external environment of operation of these systems, which has a significant impact on the components of the system. Development prospects are assessed, the pros and cons of existing solutions are high- lighted, and its structural scheme of CPS for pipeline diagnostics was proposed. The analysis and conclusions provide that the digital twin technology allows increasing not only the fault tolerance of the CPS for pipeline diagnostics itself, but also, in general, the level of technogenic safety at the facilities.