Indices of the effectiveness of information protection in an information interaction system for controlling complex distributed organizational objects

Anisimov, Vladimir; Anisimov, E. G.; Zegzhda, Peter D.; Saurenko, T. N.; Prisyazhnyuk, Sergei P.

doi:10.3103/s0146411617080053

Cited by 19 publications

(9 citation statements)

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“…If relations (5) and (6) are true and the values a j and t j are independent, the average jump in the damage indicator over the previous operation period of the information system equals a 0 , and the average time between destructive impacts during this period is t 0 , the ratio (3) can be represented as follows…”

Section: Methodical Approach To Building Conditionally Determined Modmentioning

confidence: 99%

“…With modern information technology introduced to the management of economic, social, or-ganizational and technical systems, the quality of management is becoming increasingly dependent on intentional and accidental destructive influences, which violate the integrity, confidentiality and availability of information used [1][2][3][4][5][6]. So appropriate information security subsystems are created.…”

Section: Introductionmentioning

confidence: 99%

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Models of forecasting destructive influence risks for information processes in management systems

Anisimov

Anisimov²,

Saurenko³

et al. 2019

ICS

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Introduction: One of the side effects of introducing modern information technologies in the management of economic, social,organizational and technical systems is the stronger dependence of the management quality on intentional or accidental destructiveinfluences which violate the integrity, confidentiality and availability of the information used. This determines the relevanceof developing appropriate information security systems. The substantiation of the development of such systems requires solvingthe problems of comparative assessment of the destructive impact risks and the cost of their prevention. Purpose: Predicting thedanger of a destructive impact on information processes in control systems. Method: The prediction is based on representingthe destructive effects in the form of a random sequence of events which lead to disruptions in the information processes. Theconsequences of failures are also represented by certain random variables. Results: Methodical approaches are proposed in orderto build models for predicting temporal and volumetric characteristics of damage from destructive influences on information processesin the management of economic, social, organizational and technical systems. In these models, we suggest to assess thedanger of destructive impacts by the probability of the onset of a destructive event at a certain time moment, and by the amountof damage caused by it. The basis for the construction of prediction models is the presentation of damage indicators in the formof step functions of time. The constructive representation of these functions is based on the conditional deterministic approach.The completeness of a priori information usage in determining specific parameters of the damage functions is ensured by applyingthe maximum uncertainty principle. The measure for the uncertainty is entropy. The conditional deterministic approachfor higher uncertainty levels was developed in a stochastic approach. On its basis, classes of stochastic models were proposed,corresponding to various information situations. These models allow you to estimate not only the expected values of damageindicators due to the failure in taking measures to ensure information security while managing targeted systems, but also theirprobabilistic characteristics. Practical relevance: The proposed approaches are the basis for the creation of particular models andtechniques in the interests of well substantiated decisions on the formation of the structure of the organization and managementof information security subsystems.

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Section: Methodical Approach To Building Conditionally Determined Modmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Models of forecasting destructive influence risks for information processes in management systems

Anisimov

Anisimov²,

Saurenko³

et al. 2019

ICS

View full text Add to dashboard Cite

show abstract

“…The simulation is based on the representation of these indicators in the form of a discontinuous function of the magnitude of losses in the event of an accident. Depending on the amount of information available in the previous forecasting period, either a conditionally deterministic or stochastic approach to the construction of forecasting models is chosen [3,4]. Conventionally determined models allow obtaining acceptable damage estimates with a short period of retrospection and small amounts of information, and stochastic models with significantly large amounts.…”

Section: Methodsmentioning

confidence: 99%

“…Set (5), as a rule, has a small volume. This imposes significant restrictions on the possibility of using the classical methods of mathematical statistics and probability theory for the construction of functions (3), (4). One of the most common approaches to overcoming the difficulties of determining the specific type of functions (3), (4) associated with the lack of a priori information is the application of an additional extreme condition based on the principle of "maximum uncertainty".…”

Section: Methodical Approach To the Construction Of Conditionally Detmentioning

confidence: 99%

Models for predicting damage due to accidents at energy objects and in energy systems of enterprises

et al. 2019

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Achieving energy security by preventing and timely eliminating the consequences of accidents at energy facilities and in energy supply systems of enterprises is one of the important tasks of energy management. The basis for planning appropriate energy security measures is the prediction of damage from these accidents. The purpose of forecasting is to assess the possibility of an accident occurring at some point in time and leading to a particular damage, and to assess the magnitude of this damage. The article proposed methodological approaches to the construction of mathematical models of such prediction. In this case, as an indicator of damage, the economic losses caused by these accidents are taken. The simulation is based on the representation of this indicator in the form of a step change function of the magnitude of losses in the event of an accident. Depending on the amount of information available in the period prior to forecasting, the mathematical representation of the forecasting problem is reduced to the construction of conditionally determined or stochastic models. Conditionally determined models allow obtaining acceptable damage estimates with a short period of retrospection and small amounts of information, and stochastic models with significantly large amounts. At the same time, the principle of “maximum uncertainty” formalized in the form of maximum entropy is the basis for removing uncertainty in the construction of both conditionally determined and stochastic models. Its use has allowed increasing the objectivity of forecasts by minimizing the subjective information used in modeling. The proposed approaches to the construction of mathematical models for predicting accidents at energy facilities and power supply systems of enterprises are the basis for creating specific techniques for solving relevant energy management tasks both at the micro level at the scale of individual enterprises and at the macro level at the scale of industries, regions and the state as a whole.

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“…A convenient method of such transformation in the interests of the problem of determining the coefficients of relative importance of specific indicators of commercial seaports is the use of the models proposed by Fishburn [14] for a priori obtaining of linear limits of point estimates of probabilities of events not contradicting some system of linear limitations.…”

Section: Formalized Presentation Of the Comparative Assessment Mmentioning

confidence: 99%

Model for comparative assessment of commercial seaports in global transport and logistics infrastructure

Marchenko¹,

Anisimov²,

Anisimov³

et al. 2019

Proceedings of the International Conference on Digital Technologies in Logistics and Infrastructure (ICDTLI 2019)

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The main direction of economic development is the digitalization of business processes. It covers all sectors of the economy. The peculiarity of the current stage of digitalization is the expansion of its functional space, the universal transition from digitalization in the field of information exchange to digitalization of management of individual economic processes, as well as sectors of the economy and the economy as a whole. At the same time, the digitalization of management implies the availability of tools for forming managerial decisions. Such tools, in particular, are mathematical models. The development of such a model for the comparative assessment of commercial seaports in the global transport and logistics infrastructure is the purpose of this article. The proposed approaches are the basis for the creation of specific models and techniques in the interests of the participants of transport and logistics processes to justify a wide range of management decisions. In particular, they can be used to justify decisions on the development of logistics infrastructure of commercial seaports, as well as to attract investment in its development.

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Indices of the effectiveness of information protection in an information interaction system for controlling complex distributed organizational objects

Cited by 19 publications

References 0 publications

Models of forecasting destructive influence risks for information processes in management systems

Models of forecasting destructive influence risks for information processes in management systems

Models for predicting damage due to accidents at energy objects and in energy systems of enterprises

Model for comparative assessment of commercial seaports in global transport and logistics infrastructure

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