Abstract
Cyberattacks against the elements of technological data transmission networks represent a rather significant threat of disrupting the management of regional electric power complexes. Therefore, evaluating the functioning quality of data transmission networks in the context of cyberattacks is an important task that helps to make the right decisions on the telecommunication support of electric power systems. The known models and methods for solving this problem have limited application areas determined by the admissible packet distribution laws. The paper proposes a new method for evaluating the quality of the functioning of data transmission networks, based on modeling the process of functioning of data transmission networks in the form of a stochastic network. The proposed method removes restrictions on the form of the initial distributions and makes the assumptions about the exponential distribution of the expected time and packet servicing in modern technological data transmission networks unnecessary. The method gives the possibility to evaluate the quality of the network functioning in the context of cyberattacks for stationary Poisson transmission and self-similar traffic, represented by Pareto and Weibul flows models. The obtained evaluation results are in good agreement with the data represented in previously published papers.
Highlights
According to the general global trend of the growth of information needs over the last 15–20 years, modernization of communication networks in the power industry is in progress; outdated networks are being replaced and digital telecommunication systems for processing and data transmission are being created.The result of such modernization should be a unified technological communication system of the power industry, which is necessary for the stable operation of the whole power system and its components [1]
Based on the general principles of the construction and operation of modern telecommunication networks and ensuring the quality of services provided to users when heterogeneous traffic is transmitted, the paper proposes a method for the investigation of information transmission routes in a data transmission network for arbitrary distributions of the arrival and service of packets
The method is based on the data delivery process view in the form of a stochastic network, definition of its equivalent function, calculation of the initial and central moments of waiting and service time, calculation of the parameters of the scale and shape of the incomplete gamma function and further definition of the distribution function of the time of the successful delivery of data packets
Summary
According to the general global trend of the growth of information needs over the last 15–20 years, modernization of communication networks in the power industry is in progress; outdated networks are being replaced and digital telecommunication systems for processing and data transmission are being created. It is possible that after examining reliable ways for to find a way to automatically control systems of technological processes, supervisory access to important objects, the malefactor will leave the network to reduce the risk of control and data acquisition (SCADA), industrial controllers, automatic blocking syshis/her detection and return later. By carrying out cyberattacks on automated systems and technological DTNs, malefactors disrupt the normal functioning of the power complex elements [3]. This paper proposes and discusses one of the possible mechanisms to measure the impact of cyberattacks against the network elements of a technological DTN when assessing the quality of its functioning by the value of the probability of the successful delivery of data packets that provide control of the power complex elements.
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