scholarly journals Increasing the Sensitivity of the Method of Early Detection of Cyber-Attacks in Telecommunication Networks Based on Traffic Analysis by Extreme Filtering

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2774 ◽  
Author(s):  
Andrey Privalov ◽  
Vera Lukicheva ◽  
Igor Kotenko ◽  
Igor Saenko
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Standard Deviation ◽  
Early Detection ◽  
Mathematical Expectation ◽  
Traffic Analysis ◽  
Cyber Attacks ◽  
Telecommunication Networks ◽  
Repetition Period ◽  
Correlation Interval

The paper proposes a method for improving the accuracy of early detection of cyber attacks with a small impact, in which the mathematical expectation is a fraction of the total, and the pulse repetition period is quite long. Early detection of attacks against telecommunication networks is based on traffic analysis using extreme filtering. The algorithm of fuzzy logic for deciding on the results of extreme filtering is suggested. The results of an experimental evaluation of the proposed method are presented. They demonstrate that the method is sensitive even with minor effects. In order to eliminate the redundancy of the analyzed parameters, it is enough to use the standard deviation and the correlation interval for decision making.

scholarly journals Method of Early Detection of Cyber-Attacks on Telecommunication Networks Based on Traffic Analysis by Extreme Filtering

Energies ◽  
2019 ◽  
Vol 12 (24) ◽  
pp. 4768 ◽  
Author(s):  
Andrey Privalov ◽  
Vera Lukicheva ◽  
Igor Kotenko ◽  
Igor Saenko
Keyword(s):  
Quality Of Service ◽  
Early Detection ◽  
Recovery Time ◽  
Telecommunication Network ◽  
Cyber Attacks ◽  
Telecommunication Networks ◽  
Stochastic Network ◽  
Cyber Attack ◽  
Acceptable Range

The paper suggests a method of early detection of cyber-attacks by using DDoS attacks as an example) using the method of extreme filtering in a mode close real time. The process of decomposition of the total signal (additive superposition of attacking and legitimate effects) and its decomposition using the method of extreme filtering is simulated. A profile model of a stochastic network is proposed. This allows to specify the influence of the intruder on the network using probabilistic-time characteristics. Experimental evaluation of metrics characterizing the cyber-attack is given. It is demonstrated how obtained values of metrics confirm the process of attack preparation, for instance the large-scaled telecommunication network, which includes the proposed method for early detection of attacks, has a recovery time of no more than 9 s, and the parameters of quality of service remain in an acceptable range.

scholarly journals TWO-CRITERIA APPROACH IN GAMES WITH NATURE AND ITS APPLICATION TO STOCK INVESTMENT

2020 ◽  
pp. 158-169
Author(s):  
Виктор Александрович Горелик ◽  
Татьяна Валерьяновна Золотова
Keyword(s):  
Risk Assessment ◽  
Decision Making ◽  
Standard Deviation ◽  
Mathematical Programming ◽  
Mathematical Expectation ◽  
Mixed Strategy ◽  
Statistical Data ◽  
Investment Strategies ◽  
Stock Investment ◽  
Decision Making Model

Предложена модель принятия решений в задачах фондового инвестирования как игра с природой с известными вероятностями состояний. Целью исследования является разработка новых принципов принятия решений в играх с природой и их применение для анализа статистических данных и выбора стратегий фондового инвестирования. В качестве оценки эффективности принимается математическое ожидание выигрыша инвестора, а в качестве оценки риска - среднеквадратическое отклонение. Эта двухкритериальная задача формализуется путем перевода оценки риска в ограничение. Научная новизна результатов исследования заключается в получении аналитического метода решения возникающей нелинейной задачи математического программирования и алгоритма поиска оптимальной смешанной стратегии. Приведен практический пример применения предложенных методов нахождения стратегий инвестирования на базе реальных статистических данных. A decision-making model in stock investment problems is proposed as a game with nature with known state probabilities. The aim of the study is to develop new principles of decision-making in games with nature and their application for the analysis of statistical data and the choice of stock investment strategies. The mathematical expectation of the investor's payoff is taken as an assessment of efficiency, and the standard deviation as a risk assessment. This two-criteria problem is formalized by translating risk assessment into a constraint. The scientific novelty of the research results lies in obtaining the analytical method for solving an arising nonlinear problem of mathematical programming and the algorithm for finding the optimal mixed strategy. The practical example of the application of the proposed methods for finding investment strategies based on real statistical data is given.

STUDY OF SERUM ELECTROLYTES IMBALANCES IN FEMALE THYROID PATIENTS AT AIIMS, PATNA: A HOSPITAL BASED COMPARATIVE STUDY.

2019 ◽  
Vol 3 (6) ◽  
Author(s):  
Dr. Jyoti Kumari ◽  
Dr. Dev Kant ◽  
Dr. Mala Mahto
Keyword(s):  
Standard Deviation ◽  
Early Detection ◽  
P Value ◽  
Selective Electrode ◽  
Serum Electrolytes ◽  
Sodium Potassium ◽  
Paired Samples ◽  
Electrode Method ◽  
Hypothyroid Patients ◽  
Key Words Hypothyroidism

Objectives: This present study was to compare the serum electrolytes (Na, K and Cl) imbalances in hypothyroidism, hyperthyroidism with euthyroidism female cases. Methods: A detail history, clinical examinations and relevant investigations were performed to all female thyroid cases. Thyroid hormones were estimated by chemiluminiscence method using Siemens Advia Centaur XP instrument. Electrolyte levels (Na+, k+ & Cl-) were measured by ion selective electrode method using Eschweiler combi. Results: Data was analyzed with the help of SPSS (version 26) software. Paired samples statistics was used. Mean ± standard deviation and t value were calculated. P value was taken less than or equal to 0.05 (p ≤ 0.05) for significant differences. Conclusions: This present study concluded that electrolytes sodium, potassium and chloride levels were significantly reduced in hypothyroidism female cases compared to euthyroids female (controls). This suggests that hypothyroid patients should be regularly checked for serum electrolytes. Early detection and treatment can prevent the further complications related to the disorder and will be helpful during the management of thyroid patients. Key words: Hypothyroidism, hyperthyroidism, euthyroidism, electrolytes.

Fuzzy Logic Models for Non-Programmed Decision-Making in Personnel Selection Processes Based on Gamification

Informatica ◽  
2018 ◽  
Vol 29 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Javier Albadán ◽  
Paulo Gaona ◽  
Carlos Montenegro ◽  
Rubén González-Crespo ◽  
Enrique Herrera-Viedma
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Personnel Selection ◽  
Logic Models ◽  
Selection Processes

MEMPREDIKSI JUMLAH PRODUKSI ULOS BATAK DENGAN MENGGUNAKAN LOGIKA FUZZY DENGAN METODE TSUKAMOTO (Studi Kasus Cv. Ala Dos Roha)

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Sri Handayani Sianipar ◽  
Fince Tinus Waruwu ◽  
Lince Tomoria Sianturi
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Production Method ◽  
Production Data ◽  
Speed Up

Ulos batak toba is one of indonesia traditional fabric, precisely the traditional cloth of the batak toba. From time to time the ulos fabric was growing in terms of  type and motif. One of the companies that produces ulos batak is cv. Ala dos roha. The authors conducted this study aimed at predicting the amount of production of ulos batak to produced later. The author uses the previous request, inventory and production data using fuzzy logic tsukamoto. The final result of the calculation with this method will be more effective and efficient so as to speed up the decision making time to predict the amount of production to be produced next.Keywords: prediction, amount of  production, method of tsukamoto

Pengembangan Aplikasi Pendukung Keputusan Pemilihan Program Studi dengan Metode Fuzzy Logic (Studi Kasus: Universitas Multimedia Nusantara)

2016 ◽  
Vol 7 (1) ◽  
pp. 12-18
Author(s):  
Joko Haryanto ◽  
Seng Hansun
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
System Application ◽  
Prospective Students ◽  
Fuzzy Logic Method ◽  
Index Terms ◽  
Selection Of

This paper describes the development of decision support system application to assist students who want to enter college so that no one choose the majors incorrectly. This application uses fuzzy logic method because fuzzy logic is very flexible in data which are vague and can be represented as a linguistic variable. The purpose of this application is to assist students to choose available majors at University Multimedia Nusantara which are appropriate with his/her capabilities. This application accepts five kinds of input values i.e. Mathematics, Indonesian, English, Physics, and TIK. Received input will be processed by the calculation of the system for decision-making and the application will generate output that shows how great a match for each majors. With this application, prospective students can find out where the majors that match his/her capabilities. This application has ninety nine percentage of match result accuracy. Index Terms—fuzzy logic, decision support system, UMN, selection of major

scholarly journals Application of Interval Fuzzy Logic in Selecting a Sustainable Supplier on the Example of Agricultural Production

Symmetry ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 774
Author(s):  
Adis Puška ◽  
Miroslav Nedeljković ◽  
Sarfaraz Hashemkhani Zolfani ◽  
Dragan Pamučar
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Asymmetric Information ◽  
Agricultural Production ◽  
Complete Information ◽  
Sustainable Supply Chain ◽  
Sustainability Criteria ◽  
Criteria Importance ◽  
Selection Of ◽  
Economic Criteria

The selection of sustainable suppliers (SSS) is the first step in applying a sustainable supply chain and sustainable production. Therefore, it is necessary to select the supplier that best meets the set sustainability criteria. However, the selection of suppliers cannot be done by applying symmetric information, because the company does not have complete information, so asymmetric information should be used when selecting suppliers. Since the SSS applies three main sustainability criteria, environmental, social, and economic criteria, this decision-making problem is solved by applying multi-criteria decision-making (MCDM). In order to solve the SSS for the needs of agricultural production, interval fuzzy logic was applied in this research, and six suppliers with whom agricultural pharmacies in Semberija work were taken into consideration. The application of interval fuzzy logic was performed using the methods PIPRECIA (Pivot pairwise relative criteria importance assessment) and MABAC (Multi-Attributive Border Approximation Area Comparison). Using the PIPRECIA method, the weights of criteria and sub-criteria were determined. Results of this method showed that the most significant are economic criteria, followed by the social criteria. The ecological criteria are the least important. The supplier ranking was performed using the MABAC method. The results showed that supplier A4 best meets the sustainability criteria, while supplier A6 is the worst. These results were confirmed using other MCDM methods, followed by the sensitivity analysis. According to the attained results, agricultural producers from Semberija should buy the most products from suppliers A4, in order to better apply sustainability in production. This paper showed how to decision make when there is asymmetric information about suppliers.

scholarly journals Fuzzy Logic for Intelligent Control System Using Soft Computing Applications

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2617
Author(s):  
Catalin Dumitrescu ◽  
Petrica Ciotirnae ◽  
Constantin Vizitiu
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Soft Computing ◽  
Intelligent Control ◽  
Fuzzy Controller ◽  
Control Technique ◽  
Distributed Intelligence ◽  
High Level ◽  
The Impact ◽  
Fuzzy Subsets

When considering the concept of distributed intelligent control, three types of components can be defined: (i) fuzzy sensors which provide a representation of measurements as fuzzy subsets, (ii) fuzzy actuators which can operate in the real world based on the fuzzy subsets they receive, and, (iii) the fuzzy components of the inference. As a result, these elements generate new fuzzy subsets from the fuzzy elements that were previously used. The purpose of this article is to define the elements of an interoperable technology Fuzzy Applied Cell Control-soft computing language for the development of fuzzy components with distributed intelligence implemented on the DSP target. The cells in the network are configured using the operations of symbolic fusion, symbolic inference and fuzzy–real symbolic transformation, which are based on the concepts of fuzzy meaning and fuzzy description. The two applications presented in the article, Agent-based modeling and fuzzy logic for simulating pedestrian crowds in panic decision-making situations and Fuzzy controller for mobile robot, are both timely. The increasing occurrence of panic moments during mass events prompted the investigation of the impact of panic on crowd dynamics and the simulation of pedestrian flows in panic situations. Based on the research presented in the article, we propose a Fuzzy controller-based system for determining pedestrian flows and calculating the shortest evacuation distance in panic situations. Fuzzy logic, one of the representation techniques in artificial intelligence, is a well-known method in soft computing that allows the treatment of strong constraints caused by the inaccuracy of the data obtained from the robot’s sensors. Based on this motivation, the second application proposed in the article creates an intelligent control technique based on Fuzzy Logic Control (FLC), a feature of intelligent control systems that can be used as an alternative to traditional control techniques for mobile robots. This method allows you to simulate the experience of a human expert. The benefits of using a network of fuzzy components are not limited to those provided distributed systems. Fuzzy cells are simple to configure while also providing high-level functions such as mergers and decision-making processes.

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