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.

At present, issues related to information security are highly relevant. DoS and DDoS attacks are carried out by cybercriminals quite often, because cyberattacks can bring almost any system to failure, leaving no legally significant evidence. At the same time, the failure of the attacked subsystem can be an intermediate stage towards the target system. The most vulnerable to DDoS attacks are online stores, online payment systems, news resources and companies, whose activities depend on the frequency of user access to the resource. The main methods of protection against cyberattacks and DDoS attacks, in particular, are currently antivirus programs and firewalls. The article presents a description of some types of DDoS attacks as well as the results of a comparative analysis of several existing methods of networks security from DDoS attacks, which will simplify the choice of the optimal solution to ensure reliable protection of a telecommunication facility. Considering all the advantages and disadvantages, the method of organizing a network protection system against DDoS attacks based on the technology of artificial neural networks is the most suitable solution for ensuring the information security of networks of various purpose.

The study has the method of random multiple wireless access in the networks of the Internet of Things and the control architecture, similar to a software-configured network, examined. The models of collision description, network parameters selection and their initial values, which provide target values for the probability of the delivery in the considered networks, are analyzed. The paper proposes a method the novelty of which lies in the usage of cognitive control of network parameters, taking into account the heterogeneity of conditions for different users with a given probability of data delivery. The proposed method and model of random multiple access and cognitive selection of network parameters are relevant and can be applied when building the access level of the Internet of Things in networks with allowable losses when managing large volumes of heterogeneous traffic and ensuring the required quality of service.