Evaluating the Effectiveness of Cloud Services

Kravchenko, Yurii; Leshchenko, Olga; Dakhno, Nataliia; Trush, Oleksandr; Makhovych, Oleksandr

doi:10.1109/atit49449.2019.9030430

Cited by 24 publications

(18 citation statements)

References 7 publications

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“…In [2] the standards, attributes and characteristics of the profile are considered and a method of detecting signs of public opinion manipulation in social networks based on the construction of information security profiles of social Internet services, based on gradient boosting of binary trees, which automates early detection procedures.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Modeling the Protection of Personal Data From Trust and the Amount of Information on Social Networks

et al. 2021

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The article analyzes the parameters of social networks. The analysis is performed to identify critical threats. Threats may lead to leakage or damage to personal data. The complexity of this issue lies in the ever-increasing volume of data. Analysts note that the main causes of incidents in Internet resources are related to the action of the human factor, the mass hacking of IoT devices and cloud services. This problem is especially exacerbated by the strengthening of the digital humanistic nature of education, the growing role of social networks in human life in general. Therefore, the issue of personal information protection is constantly growing. To address this issue, let’s propose a method of assessing the dependence of personal data protection on the amount of information in the system and trust in social networks. The method is based on a mathematical model to determine the protection of personal data from trust in social networks. Based on the results of the proposed model, modeling was performed for different types of changes in confidence parameters and the amount of information in the system. As a result of mathematical modeling in the MatLab environment, graphical materials were obtained, which showed that the protection of personal data increases with increasing factors of trust in information. The dependence of personal data protection on trust is proportional to other data protection parameters. The protection of personal data is growing from growing factors of trust in information. Mathematical modeling of the proposed models of dependence of personal data protection on trust confirmed the reliability of the developed model and proved that the protection of personal data is proportional to reliability and trust

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Section: Literature Review and Problem Statementmentioning

confidence: 99%

Modeling the Protection of Personal Data From Trust and the Amount of Information on Social Networks

et al. 2021

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“…Formulation of the problem. In software systems, the term «self-healing» implies the presence of any application, service or system that can detect that it is not working properly, and without any human intervention to make the necessary changes to restore itself to normal or design condition [18,20,23]. The same actions can be performed by the system in case of probable failure of its structural elements [5,19,26].…”

Section: Literature Reviewmentioning

confidence: 99%

“…In some cases, there is a possibility of external influence on the performance of software components. In all these cases, there is a problem with software recovery [1]. It is necessary to create a system that will operate under the influence of interference.…”

Section: Introductionmentioning

confidence: 99%

Comprehensive Methods of Evaluation of Distance Learning System Functioning

Барабаш¹,

Лаптєв²,

Sobchuk³

et al. 2021

IJCNIS

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Given recent events, training during quarantine can only take place remotely. To ensure quality training, communication must be seamless. To do this, the network must function smoothly. The solution to this problem is functionally stable networks that allow uninterrupted transmission of information due to redundancy. An important issue is the definition of redundancy. To solve this problem, the article considers the method of synthesis of the structure of the distance learning system. The method of synthesis of network structure used for providing distance learning by the criterion of maximum functional stability on the basis of the introduction of correcting communication lines is offered. With this method, you can develop tools for self-recovery of distributed software, taking into account the characteristics of disparate computer resources through the use of redundancy. This will allow you to develop functionally stable software systems, significantly reduce the recovery time of such systems after or in the event of possible failures. To increase the efficiency of the developed method, the mathematical model of the hyper network based on two hypergraphs was improved, which allows taking into account different requirements for the quality of the network.

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“…If there is enough information to solve a specific problem, then they say that the information is complete. The correspondence of information about an object, process or phenomenon to their present state determines its accuracy [1,2,22].…”

Section: Literature Analysis and Problem Statementmentioning

confidence: 99%

The Method dynavic TF-IDF

2020

IJETER

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The article considers mathematical models of text documents. Currently, there is an exponential increase in the amount of information both in electronic repositories and in real life. An important element of the study is the dynamics of information. The dynamic characteristics of information should be taken into account in search engine algorithms. In this work, we built a dynamic model of a text document based on TF-IDF measures and conducted experiments to apply it in search algorithms.The software implementation of the experiments was carried out in Python 3.8 in the Spider environment. The simulation results showed that the proposed dynamic model of the TF-IDF method can improve the accuracy of the search for text documents.

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Evaluating the Effectiveness of Cloud Services

Cited by 24 publications

References 7 publications

Modeling the Protection of Personal Data From Trust and the Amount of Information on Social Networks

Modeling the Protection of Personal Data From Trust and the Amount of Information on Social Networks

Comprehensive Methods of Evaluation of Distance Learning System Functioning

The Method dynavic TF-IDF

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