Analytical Determination of the Parameters of the Self-Tuning Circuit of the Traffic Control System on the Limit of Vibrational Stability

Korotin, Sergii M.; Kravchenko, Yurii; Starkova, Olena; Herasymenko, Kostiantyn; Mykolaichuk, Roman

doi:10.1109/picst47496.2019.9061256

Cited by 17 publications

(3 citation statements)

References 4 publications

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“…At the same time, despite a significant number of publications on addressing various aspects of improving security and methods for identifying vulnerabilities, it becomes clear that the vulnerability analysis process remains ineffective [11][12][13][14][15]. There is no clearly described practical implementation of the rapid detection of vulnerabilities in enterprise computer networks.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Development of a method for checking vulnerabilities of a corporate network using Bernstein transformations

Kyrychok

Лаптєв

Lisnevskyi

et al. 2022

EEJET

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One of the leading areas of cybersecurity of communication networks is considered – the introduction of preventive mechanisms, among which the most promising are the methods of active security analysis. These methods allow, in addition to timely detection of vulnerabilities of the target system (analyzed system), to confirm the possibility of their implementation, that is, to validate vulnerabilities by simulating the real actions of a potential attacker. The urgent need to validate vulnerabilities out of the many identified is caused by the fact that some of them can only be theoretical, while others are exploited using malicious scripts (exploits). At the same time, the process of validating vulnerabilities is practically not studied. That is why the work carried out an experimental study of the functioning of modern tools for exploiting vulnerabilities. Based on the observations, general quantitative characteristics of the vulnerability validation process were identified. A mathematical model for the analysis of the above characteristics based on Bernstein polynomials has been developed. It is the polynomial representation of the procedure for confirming the possibility of implementing the identified vulnerabilities that makes it possible to describe the dynamics of this process, taking into account the complex and volatile nature of the environment. Analytical dependencies are obtained for the number of cases of successful and negative confirmation of vulnerabilities. In particular, negative validation cases include simply failed attempts to validate vulnerabilities, as well as attempts that resulted in critical errors on the target system during the rational cycle of validating the identified vulnerabilities. The proposed dependencies make it possible to construct the probability distribution laws for the above characteristics of the vulnerability testing process.

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Section: Literature Review and Problem Statementmentioning

confidence: 99%

Development of a method for checking vulnerabilities of a corporate network using Bernstein transformations

Kyrychok

Лаптєв

Lisnevskyi

et al. 2022

EEJET

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“…In [6,14,18] the problem of detection and distinction of random signals of short-range radio detection devices used in security systems is considered. The main essential parameters of short-range radio detection devices are determined.…”

Section: Literature Analysis and Problem Statementmentioning

confidence: 99%

Method of Detecting Radio Signals using Means of Covert by Obtaining Information on the basis of Random Signals Model

Лаптєв

Savchenko

Pravdyvyi

et al. 2022

Int. j. commun. netw. inf. secur.

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The article presents a developed method for determining random radio signals. Random signals can be signals from hidden means of obtaining information.The signal is considered as a random process. The description of such signals is based on probability theory and the theory of random functions. In the practice of analysis of random radio signals, static methods based on the theory of stationary random functions have become widespread. The existing models of a stationary random process are not adequate for a large number of random processes, especially for processes that are dynamic in nature and are observed during a finite time interval.The developed method allows to detect signals from hidden means of obtaining information with greater efficiency. The novelty of the method is to determine the deviation of the main parameters of the signals from the function of the sample. The method is based on determining the function of a sample of signals of a given radio range. The function of the sample is obtained as the implementation of the smoothing function of a random process, by the method of least squares using the principle of sliding smoothing.It is proposed to determine the signals of the means of covert receipt of information by the instantaneous deviation of the parameters of random signals. To determine the signals of the means of covert obtaining information, it is proposed to determine the deviation of the amplitude of the random signals from the amplitude of the signals of the sample function, then, if necessary, to determine the deviation of the signal phases. So, the effectiveness of the method is achieved by determining two parameters of the deviation of the amplitude and phase. This makes it possible to detect random signals with a higher probability.Determining the function of the sample of the required radio band significantly increases the probability of determining random signals, by reducing the scanning time of a given radio band, by excluding known signals from the additional software analysis of a given radio band.

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“…The growth of content and its diversity, the development of services and the scope of their coverage have led to a paradigm shift in computing -in place of client-server architecture came data centers, clouds, file systems and databases were transformed into storage. In addition, the efficiency of the control system is determined by the level of safety, environmental friendliness, the ability to perform their tasks, tasks and other parameters that are described in [5][6][7]. To ensure efficiency, studies are carried out with various mathematical models and methods [8][9].…”

Section: Introductionmentioning

confidence: 99%

Synergetic Approach to the Study of Control Systems

Kravchenko¹,

Leshchenko²,

Trush³

et al. 2020

Scientific Journal of Astana IT University

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The paper considers a new direction of scientific research - "synergetics". The key provisions and its development as a science are considered. The focus is on open feedback systems as objects of research. The properties of these systems - openness, nonlinearity, dissipation and multidimensionality, allow the use of a synergistic approach in the study. Due to new trends in information technology in recent years, interest in the new architecture of Software Defined Networks has grown. A programmable controller is used as a control mechanism for SDN networks. The connection between the logical controller and the physical network is made using the OpenFlow protocol. The graph of the network topology is presented as a set of key parameters that come to the controller. From the set of parameters, the key ones used in the study are selected. The dynamics of the ratio of key parameters under the condition of optimizing the network infrastructure is studied. The dynamics of the network corresponding to the stability condition is investigated by the methods of synergetic control theory. SDN network control is formed by methods based on the principle of self-organization of nonlinear systems. As a result, synergetic control is synthesized to increase the resistance of the control system to destructive influences. Based on the selected dynamic invariant, the possibility of providing the selection of the parameter of the SDN network management system for the transition to a controlled state is shown.

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Analytical Determination of the Parameters of the Self-Tuning Circuit of the Traffic Control System on the Limit of Vibrational Stability

Cited by 17 publications

References 4 publications

Development of a method for checking vulnerabilities of a corporate network using Bernstein transformations

Development of a method for checking vulnerabilities of a corporate network using Bernstein transformations

Method of Detecting Radio Signals using Means of Covert by Obtaining Information on the basis of Random Signals Model

Synergetic Approach to the Study of Control Systems

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