Increasing Information Protection in the Information Security Management System of the Enterprise

Onyshchenko, Svitlana; Yanko, Alina; Hlushko, Alina; Sivitska, Svitlana

doi:10.1007/978-3-030-85043-2_67

Cited by 14 publications

(5 citation statements)

References 11 publications

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“…A review of related scientific publications. Existing developments in the field of regional or national security technologies are dedicated to the development of new approaches for diagnosing and monitoring various types of threats, including ecological-economic [21], informational [22], and financial [23].…”

Section: Perform Experimental Verification Of the Proposed Approachesmentioning

confidence: 99%

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Practical Principles of Integrating Artificial Intelligence Into the Technology of Regional Security Predicting

Shefer,

Laktionov,

Pents

et al. 2024

A.I.S.

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Objective. The aim is to enhance the efficiency of diagnostics for determining the level of air attack safety through the practical integration principles of artificial intelligence. Methodology. Models and technologies for safety diagnostics of the region (territorial community) have been explored. The process of building an artificial intelligence model requires differentiation of objects at a level to accumulate assessments-characteristics of aerial vehicles. The practical integration principles of artificial intelligence into the forecasting technology are based on the Region Safety Index, used for constructing machine learning models. The optimal machine learning model of the proposed approach is selected from a list of several models. Results. A technology for predicting the level of regional safety based on the Safety Index has been developed. The recommended optimal model is the Random Forest model ([('max_depth', 13), ('max_features', 'sqrt'), ('min_samples_leaf', 1), ('min_samples_split', 2), ('n_estimators', 79)]), demonstrating the most effective quality indicators of MAE; MAX; RMSE 0.005; 0.083; 0.0139, respectively. Scientific Novelty. The proposed approach is based on a linear model of the Region Safety Index, which, unlike existing ones, takes into account the interaction of factors. This allows for advantages of the proposed method over existing approaches in terms of the root mean square error of 0.496; 0.625, respectively. In turn, this influences the quality of machine learning models. Practical Significance. The proposed solutions are valuable for diagnosing the level of safety in the region of Ukraine, particularly in the context of air attacks.

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Section: Perform Experimental Verification Of the Proposed Approachesmentioning

confidence: 99%

“…Therefore, each existing approach [21][22][23][24][25][26][27][28][29] is unique and addresses a specific problem, not specifically focused on the features of predicting the security level of a country based on safety index assessments.…”

Section: Perform Experimental Verification Of the Proposed Approachesmentioning

confidence: 99%

Practical Principles of Integrating Artificial Intelligence Into the Technology of Regional Security Predicting

Shefer,

Laktionov,

Pents

et al. 2024

A.I.S.

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“…The information technology leap in the development of the world economy is changing the paradigm of the functioning of the banking sector [1]. Key innovations in fintech, including the introduction of open banking and hyper-personalization, are undeniably impacting the banking industry.…”

Section: Problem Descriptionmentioning

confidence: 99%

The impact of innovation and fintech on the banking business

Khudolii,

Hlushko

2023

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The object of research. The study analyzes the impact of fintech innovations on the effectiveness of the functioning of the banking business and outlines the prospects for their further implementation in Ukraine, taking into account the EU experience. Investigated problem. In the conditions of the spread of digitalization processes as a key factor of competitive advantages, the question of researching the introduction of fintech innovations into the banking sector of Ukraine, determining their impact on the effectiveness of the functioning of the banking business, and delineating further prospects for the digitalization of banking institutions' activities becomes relevant. The main scientific results. The results of the study proved the existence of potential opportunities for expanding the innovative activity of the banking system of Ukraine. In recent years, there has been an intensification of the processes of digitalization of banking services. On the basis of a comparative analysis of the neobanks of Ukraine, their main advantages are outlined and prospective areas of activity expansion are substantiated. At the same time, problematic aspects in the implementation of digital technologies in the banking sector of Ukraine are identified, in particular, imperfect legislation in the field of digital technologies in neobanking and licensing of their activities, low level of financial literacy of the population, expensive initial investments. This requires further research into the possibilities of implementing the positive experience of the EU countries. The area of practical use of research results. The results of the study can be used by banking institutions of Ukraine when justifying strategies for introducing fintech into their activities. Innovative technological product. The results of the study made it possible to outline strategic directions for the introduction of digital technologies in the banking sector of Ukraine. Scope of the innovative technological product. The results of the research concern the implementation of banking innovations.

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“… the appearance, both in our country and abroad, of numerous scientific and theoretical publications devoted to the theory and practice of creating high-speed, reliable, survivable and fault-tolerant computer systems and components operating in the Theoretical and cryptographic problems of cybersecurity _________________________________________________________________________________ SRC; in particular, the elements of the theory of ensuring fault tolerance and the classification of the CS functioning on the basis of the use of the SRC are being developed [7][8][9];  mass distribution of mobile device processors, which require high data processing performance with low energy consumption; the use of the SRC when performing arithmetic operations of addition and multiplication of numbers ensures high performance due to the absence of interdigit transfers in the process of performing arithmetic operations; at the same time, during the operation of mobile devices, the use of the SRC can significantly reduce energy consumption [10];  banking structures are of great interest, where there is a need to reliably and reliably process large amounts of data in real time, i.e. high-performance computing tools are required for highly reliable calculations with possible self-correction of errors, which is typical for corrective codes in the SRC [11];  increasing the density of the placement of elements on a single chip doesn't in all cases allow for high-quality and complete testing of computer components; in this case, the importance of ensuring fault-tolerant functioning of the CS increases; preliminary research results have shown that with the help of the SRC it is possible to organize faulttolerant operation of real-time CS [12];  the need to use specialized CS to perform a huge number of operations on multidimensional numerical structures in real time, require a high speed of integer addition and multiplication operations (tasks of matrix multiplication, tasks of the scalar product of vectors, Fourier transform, etc.) [10,13];  at present, the widespread introduction of microelectronics in all spheres of human life has significantly increased the relevance and importance of previously rare, but now widespread, such mass scientific and practical problems as digital signal and image processing, pattern recognition, cryptographic transformations, processing and storage of multi-bit information etc.…”

Section: Introductionmentioning

confidence: 99%

Mathematical Model of the Process of Raising Integers to an Arbitrary Power of a Natural Number in the System of Residual Classes

Yanko,

Kovalchuk

2023

TACS

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It is known that the use of a non-positional number system in residual classes (SRC) in computer systems (CS) can significantly increase the speed of the implementation of integer arithmetic operations. The use of such properties of a non-positional number system in the SRC as independence, equality and low-bitness (low-digit capacity) of the residues that define the non-positional code data structure of the SRC provides high user performance for the implementation in the CS of computational algorithms consisting of a set of arithmetic (modular) operations. The greatest efficiency from the use of the SRC is achieved when the implemented algorithms consist of a set of arithmetic operations such as addition, multiplication and subtraction. There is a large class of algorithms and tasks (tasks of implementing cryptoalgorithms, optimization tasks, computational tasks of large dimension, etc.), where, in addition to performing integer arithmetic operations of addition, subtraction, multiplication, raising integers modulo and others in a positive numerical range, there is a need to implement the listed above arithmetic and other operations, in the negative numerical range. The need to perform these operations in a negative numerical range significantly reduces the overall efficiency of using the SRC as a number system of the CS. In this aspect, the lack of a mathematical model for the process of raising integers in the SRC in the negative numerical region makes it difficult to develop methods and procedures for raising integers to an arbitrary power of a natural number in the SRC, both in positive and negative numerical ranges. The purpose of the article is the synthesis of a mathematical model of the process of raising integers to an arbitrary power of a natural number in the SRC, both in positive and negative numerical ranges.

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Increasing Information Protection in the Information Security Management System of the Enterprise

Cited by 14 publications

References 11 publications

Practical Principles of Integrating Artificial Intelligence Into the Technology of Regional Security Predicting

Practical Principles of Integrating Artificial Intelligence Into the Technology of Regional Security Predicting

The impact of innovation and fintech on the banking business

Mathematical Model of the Process of Raising Integers to an Arbitrary Power of a Natural Number in the System of Residual Classes

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