Functional Performance Indicators During Systems Development  to Protect Information From Unauthorised Access

Kachaeva, G. I.; Popov, A. D.; Рогозин, Е. А.

doi:10.21822/2073-6185-2018-45-1-147-159

Vestn. Dagest. gos. teh. univ., Teh. nauki

2018

DOI: 10.21822/2073-6185-2018-45-1-147-159

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Functional Performance Indicators During Systems Development to Protect Information From Unauthorised Access

G. I. Kachaeva¹,

A. D. Popov²,

Е. А. Рогозин³

Abstract: Целью и задачами исследования являются: анализ нормативных международных и российских документов, а также научных материалов по проблемам оценки качества программного обеспечения; исследование свойств эффективности функционирования систем защиты информации от несанкционированного доступа в автоматизированных информационных системах; аналитическое обобщение существующих недостатков систем защиты информации от несанкционированного доступа в автоматизированных информационных системах, на основе которых разработат… Show more

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Approach of Processing, Classification and Detection of New Classes and Anomalies in Heterogenious and Different Streams of Data

Bagutdinov

2019

Vestn. Dagest. gos. teh. univ., Teh. nauki

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Objectives. The aim of the study is to search for effective methods and approaches to the processing of heterogeneous data streams and the management of problems of infinite length, conceptual evolution and conceptual drift. A heterogeneous data stream can have infinite length and contain structured or unstructured data. Processing a heterogeneous and multi-scale data flow is a major challenge for researchers. Most of the research focuses on solving problems of infinite length and concept-drift.Method. New class detection strategies are classified as parametric and non-parametric. This work is based on a non-parametric approach. The classifier works on the ensemble of three models. The separation generates a different number of classes in each fragment. Classes are calculated by applying the K-Medoid clustering method on each fragment. The effectiveness of the K-media clustering method is more suitable for a data set containing anomalies.Result. The developed algorithm is capable of processing heterogeneous and multi-scale data. Each instance that is present in the model belongs to only one class. Experimental work was performed on four samples of stream data of 2000 lines each. After performing the pre-processing, the multi-valued characteristics of the data were found in the data set.Conclusion. This paper presents an effective approach for processing heterogeneous data streams and managing tasks of infinite length, conceptual evolution and conceptual drift. The developed approach is based on the string matching parameter instead of the distance for processing the four tasks of data streams. The level of false positives in the developed algorithm is rather low and can be considered insignificant. The approach does not classify a new instance of the class as an existing class, but can effectively handle the functional evolution.

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Approach of Processing, Classification and Detection of New Classes and Anomalies in Heterogenious and Different Streams of Data

Bagutdinov

2019

Vestn. Dagest. gos. teh. univ., Teh. nauki

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Assessment of information security risks of automated system using neuro-fuzzy logic

Aydinyan

Tsvetkova

2023

Vestn. Dagest. gos. teh. univ., Teh. nauki

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Objective. Automated systems are widely used in production, and an important criterion for their reliability is information security. The aim of the study is to provide a balance between possible losses as a result of the implementation of threats and the cost of protection tools that reduce risks using neuro-fuzzy logic.Method. The developed model is based on the use of fuzzy logic.Result. A model of integrated information security risk assessment has been obtained, which can be practically applied for a comprehensive analysis of the effectiveness of organizing a protection system for automated systems operating in various fields of activity. The risk indicators of information security of an automated system, described with the help of linguistic variables, are revealed. Based on these indicators, information security risk assessments were obtained from the state of: software; technical support; information support; organizational and methodological support; the level of training and motivation of employees. The fuzzy production rules of the model are formulated to determine the integrated assessment of the information security of an automated system, providing a full account of all factors that have a significant impact on the level of security of an automated system.Conclusions. A feature of the proposed approach is the formalization of the assessment process, reducing the level of subjectivity in the formation of risk assessments.

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Functional Performance Indicators During Systems Development to Protect Information From Unauthorised Access

Cited by 2 publications

References 0 publications

Approach of Processing, Classification and Detection of New Classes and Anomalies in Heterogenious and Different Streams of Data

Approach of Processing, Classification and Detection of New Classes and Anomalies in Heterogenious and Different Streams of Data

Assessment of information security risks of automated system using neuro-fuzzy logic

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