scholarly journals Development of the monitoring system for user's actions in the informational system

2021 ◽  
pp. 136-153
Author(s):  
Nadezhda Karpova ◽  
◽  
Alina Emelina ◽  
Keyword(s):  
Information Security ◽  
Correlation Coefficient ◽  
User Behavior ◽  
Pearson Correlation ◽  
Information Environment ◽  
Arbitrary Parameter ◽  
Development Scenarios ◽  
Relationship Of ◽  
Parameter Values ◽  
User Actions

Currently, there are a large number of mechanisms for protecting computer systems, one of the directions is the creation of systems that respond to possible threats to the information security of the enterprise. Since according to statistics, a large number of information-related crimes are committed by employees of enterprises, monitoring of user actions in the information environment is a particularly important and relevant issue. The main advantages of such monitoring systems are the ability to represent arbitrary parameter values in the form of analytics of specified values, the ability to take into account a large number of development scenarios, the ability to use this system when making decisions, when describing schemes for analyzing information flows, and also to track a large number of computer parameters. In order to respond to information security incidents in a timely manner, it is important to develop a system that also takes into account the interrelationship of user actions. The authors of this paper hypothesized that the user's actions in a computer system are interrelated with each other, that is, if a user performs suspicious actions in a separate monitored parameter, then with a greater degree of confidence, we can say that this user will perform suspicious actions in another monitored parameter. Correlation analysis is necessary for possible reduction of the number of iterations during the program operation, which in the future allows to speed up the analysis of user actions in the information environment. In order to study the statistical relationship of the parameters, the authors found a mathematical measure of correlation - the correlation coefficient (Pearson correlation coefficient) for the studied parameters. Based on the analysis, fuzzy rules were formulated, on the basis of which a system for monitoring user actions in the information environment is built. In this development, a term such as reference user behavior is introduced. Any deviation from this "standard" is considered as a suspicious action and requires a timely response to a possible incident.

scholarly journals Research of abnormal user actions in the information environment

2020 ◽  
pp. 26-39
Author(s):  
Nadegda Karpova ◽  
◽  
Alexsander Baranov ◽  
Alina Emelina ◽  
Alexsander Konovalov ◽  
...  
Keyword(s):  
User Behavior ◽  
System Development ◽  
Flow Analysis ◽  
Information Environment ◽  
Arbitrary Parameter ◽  
Development Scenarios ◽  
Event Logs ◽  
Standard Template ◽  
Parameter Values ◽  
User Actions

The article is devoted to the analysis of user actions in a computer system and the development of a system for monitoring abnormal user actions in the information environment. We used the mathematical apparatus of fuzzy logic for system development. The main advantages of information environment monitoring systems based on fuzzy set theory are the ability to represent arbitrary parameter values in the form of analytics of given values, the ability to take more development scenarios into account, the ability to use this system when making decisions, when describing flow analysis schemes for the information environment, and track a large number of computer parameters. During the research, it was found that the actions of hackers differ from the behavior of ordinary users. As a result, the authors propose a developed system for monitoring abnormal user actions in the information environment, which is based on the analysis of event logs. The operation of the system requires the accumulation of information (audit files, log-in time and session duration data on file deletion, etc.), based on which a standard (template) of normal user behavior is created. Then, the user’s behavior is compared with the standard, and when anomalies are detected, the system signals about deviations. This algorithm allows you to track a large number of user parameters to determine unauthorized access.

Human factor and information security in higher education

2014 ◽  
Vol 16 (3) ◽  
pp. 210-221 ◽  
Author(s):  
Efthymia Metalidou ◽  
Catherine Marinagi ◽  
Panagiotis Trivellas ◽  
Niclas Eberhagen ◽  
Georgios Giannakopoulos ◽  
...  
Keyword(s):  
Higher Education ◽  
Information Security ◽  
Computer Security ◽  
Human Factors ◽  
Pearson Correlation ◽  
Field Research ◽  
Content Type ◽  
Relationship Of ◽  
The Relationship ◽  
Positive Effect

Purpose – The purpose of this paper is to investigate the association of lack of awareness and human factors and the association of lack of awareness and significant attacks that threat computer security in higher education. Design/methodology/approach – Five human factors and nine attacks are considered to investigate their relationship. A field research is conducted on Greek employees in higher education to identify the human factors that affect information security. The sample is consisted of 103 employees that use computers at work. Pearson correlation analysis between lack of awareness and nine (9) computer security risks is performed. Findings – Examining the association of lack of awareness with these attacks that threat the security of computers, all nine factors of important attacks exert significant and positive effect, apart from phishing. Considering the relationship of lack of awareness to human factors, all five human factors used are significantly and positively correlated with lack of awareness. Moreover, all nine important attacks, apart from one, exert a significant and positive effect. Research limitations/implications – The paper extends understanding of the relationship of the human factors, the lack of awareness and information security. The study has focused on employees of the Technological Educational Institute (TEI) of Athens, namely, teachers, administrators and working post-graduate students. Originality/value – The paper has used weighted factors based on data collection in higher education to calculate a global index for lack of awareness, as the result of the weighted aggregation of nine (9) risks, and extends the analysis performed in the literature to evaluate the effectiveness of security awareness in computer risk management.

Dukungan Sosial Guru dan Self Regulated Learning Siswa

2020 ◽  
Vol 2 (2) ◽  
pp. 60-79
Author(s):  
Tadeus Tea ◽  
Dian Lestari Anakaka ◽  
Fredericksen Amseke
Keyword(s):  
Social Support ◽  
Correlation Coefficient ◽  
Pearson Correlation ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Social Support Scale ◽  
Relationship Of

The purpose of this study was to find the level of relationship of teacher's social support with self regulated learning of SMP Abdi Kasih Bangsa Kupang students. 58 students of SMP Abdi Kasih Bangsa Kupang was participated. Self regulated learning scale and teacher social support scale was used to collect data. Pearson correlation product moment was used to see the correlation between the two variables. The results showed that the correlation coefficient (rxy) was 0.424 with a significance value (p) of 0.001 which means there is a relationship between teacher social support and self-regulated learning.

scholarly journals Investigating the Structural Relationship of Innovation Culture with the Educational Performance of Faculty Members in Lorestan University and Islamic Azad University, Khorramabad Branch

2016 ◽  
Vol 3 (1) ◽  
pp. 226
Author(s):  
Azita Sattar ◽  
Saeed Rajaeepour ◽  
Ghorbanali Salami ◽  
Ahmad Abedi
Keyword(s):  
Structural Equation Modeling ◽  
Correlation Coefficient ◽  
Structural Equation ◽  
Pearson Correlation ◽  
Faculty Members ◽  
Equation Modeling ◽  
Educational Performance ◽  
Pearson Correlation Coefficient ◽  
Innovation Culture ◽  
Relationship Of

<p>The objective of the present study was to investigate the structural relationship of the innovation culture with the educational performance of faculty members in the universities of Khorramabad based on the ideas and attitudes of faculty members and students. The population of the study consists of all full-time official faculty members working in Khorramabad universities (Lorestan University and Islamic Azad University, Khorramabad Branch) and also all students of the above mentioned universities in the academic year 2012-2013. The sample of the study was selected using stratified random sampling proportionate to the population size of the universities. The sample of Lorestan University based on professors and students was equal as 106 participants for professors and 212 participants for students. In addition, the statistical sample of Islamic Azad University was equal as 67 participants for professors and 134 participants for students. The questionnaires were researcher-made and developed based on Likert scale. The reliabilities of both questionnaires based on Cronbach's alpha were respectively equal as 0.93 and 0.96 and the statistical tests employed in the research were Pearson correlation coefficient and structural equation modeling. In general, according to the findings of the research, based on Pearson correlation coefficient, there was no significant correlation between none of the seven research hypotheses or in other words, between 7 components of innovation culture and the dimensions of educational performance of faculty members in P&gt;0.05. Finally, structural equation modeling indicates that innovation culture and its dimensions have no direct effect on the educational performance of faculty members.</p>

scholarly journals The Relationship of Positive Thinking and Forgiving Behavior in Student’s Friendship

2020 ◽  
Vol 5 (1) ◽  
pp. 43
Author(s):  
Reza Fahmi ◽  
Dila Fulnandra ◽  
Prima Aswirna
Keyword(s):  
Correlation Analysis ◽  
Correlation Coefficient ◽  
Pearson Correlation ◽  
Positive Thinking ◽  
Pearson Correlation Coefficient ◽  
Low Level ◽  
Pearson Correlation Analysis ◽  
Psychological Scales ◽  
Relationship Of ◽  
The Relationship

The objective of this study was to determine the category of positive thinking and forgiving behavior among the students in their friendship. This research applied a quantitative approach where the data were analyzed by using Pearson Correlation analysis. The subjects of this research were 65 students from 78 students in the populations. The data were collected by using the instrument as regards psychological scales, a modification of the Likert scale. It measured the level of positive thinking forgiving behavior. The results of this study revealed that the boarding school's students at Lubuk Lintah have a low level of positive thinking. Furthermore, the students who live in Heler dorm at LubukLintahalso have a low level of forgiving behavior in which the significance value of positive thinking and forgiving behavior was 0,000 with a Pearson Correlation coefficient of 0.666

scholarly journals The Relationship of Respecting Inherent Dignity with Anxiety, Depression, Stress and Quality of Life in Patients with Heart Failure

2020 ◽  
Vol 21 (8) ◽  
Author(s):  
Kobra Salehi ◽  
Farimah Shirani ◽  
Vajihe Atashi ◽  
Somayeh Ghafari
Keyword(s):  
Quality Of Life ◽  
Heart Failure ◽  
Correlation Coefficient ◽  
Pearson Correlation ◽  
Inherent Dignity ◽  
Patients With Heart Failure ◽  
Relationship Of ◽  
Anxiety Depression ◽  
The Relationship

Background: Respecting inherent human dignity has a prominent role and is of great importance in health care discussions. Respect for people’s dignity is the basis of nursing care and is a step toward increasing patients’ satisfaction with the services provided by the staff. Objectives: The present study aimed to investigate the relationship of respect for dignity with anxiety, depression, stress and quality of life in patients with heart failure. Methods: This is a descriptive analytic study. The study population consisted of the patients with heart failure hospitalized at Isfahan University of Medical Sciences from 2017 to 2018. In this research, samples were selected through purposive sampling, consisting of 150 patients with heart failure from the research population. Then personal characteristics questionnaire, Inherent Dignity questionnaire (IDQ), Minnesota Living with Heart Failure questionnaire (MLHF), as well as Depression, Anxiety, Stress scale (DASS) were completed by samples. Statistical analysis was performed using descriptive statistical methods, Pearson’s correlation coefficient, one-way ANOVA and independent t-test. Results: The mean total score for patients’ inherent dignity was 102.21 out of 144, with a standard deviation of 17.92. Pearson correlation coefficient showed that the total score of the patients’ inherent dignity had no significant relationship with age (P = 0.57) and the number of heart failure-related hospital admissions (P = 0.71). Pearson correlation coefficient showed that the total score of the patients’ inherent dignity had an inverse relationship with their scores of the quality of life (P = 0.002), depression (P = 0.004), anxiety (P = 0.001), and stress (P < 0.001). Conclusions: Considering the fact that nowadays the improvement of service quality is one of the priorities of healthcare and, on the other hand, as research findings show, respecting the dignity of heart failure patients plays an important role in reducing stress, anxiety, and depression as well as increasing the quality of life, these results can be used in planning to support and improve the treatment, and the care provided for patients, and to guide the future researches regarding the inherent dignity of these patients.

scholarly journals Measuring the Relationship of Bivariate Data Using Hodges-Lehman Estimator

2020 ◽  
pp. 1-5
Author(s):  
Suhaida Abdullah ◽  
Nur Amira Zakaria ◽  
Nor Aishah Ahad ◽  
Norhayati Yusof ◽  
Sharipah Soaad Syed Yahaya
Keyword(s):  
Correlation Coefficient ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
Median Absolute Deviation ◽  
Poor Correlation ◽  
Pearson Correlation Coefficient ◽  
Absolute Deviation ◽  
Bivariate Data ◽  
Relationship Of ◽  
The Relationship

The relationship of bivariate data ordinarily measured using correlation coefficient. The most commonly used correlation coefficient is the Pearson correlation coefficient. This coefficient is well-known as the best coefficient for interval or ratio bivariate data with a linear relationship. Even though this coefficient is good under the mentioned condition, it also becomes very sensitive to a small departure from linearity. Usually, this is because of the existence of an outlier. For that reason, this paper provides new robust correlation coefficients which combine the elements of nonparametric technique from the Hodges Lehmann estimator and the parametric technique based on the Pearson correlation coefficient. This paper also introduces different scale estimators such as median and median absolute deviation (MADn) and denoted by rHL(med) and rHL(MADn) respectively. The performance of the proposed correlation coefficients is measured by the coefficient values and these values are also being compared to the Pearson correlation coefficient and several existing robust correlation coefficients. The results show that the Pearson correlation coefficient (r) with no doubt is very good under perfect data condition, but with only 10% outliers, it not only give poor correlation value but turns the direction of the relationship to negative. While the rHL(med) and rHL(MADn) offer the highest coefficient values and these values are robust to the existence of outliers by up to 30%. With very good performance under all data conditions yet simple in the calculation, the rHL(med) and rHL(MADn) is considered a good alternative to the r when need to deal with outliers. Keywords: correlation coefficient; Hodges Lehmann; median; median absolute deviation (MADn)

Pengaruh Penghargaan Terhadap Kinerja Karyawan pada CV. Dino Manunggal Karsa Bogor

2019 ◽  
Vol 4 (2) ◽  
pp. 17
Author(s):  
Dedy Mulyadi ◽  
Didik Purwanto
Keyword(s):  
Linear Regression ◽  
Performance Assessment ◽  
Correlation Coefficient ◽  
Linear Regression Analysis ◽  
Strong Relationship ◽  
Simple Linear Regression ◽  
New Employees ◽  
Company Policy ◽  
Effective Manner ◽  
Relationship Of

The question of compensation in addition to sensitive to be driving someone to worl due to an effect on morale and discipline employees. Therefore , any  agency or any organization should be able to provide compensation equal to the workload  to create a workforce that efficient and effective manner can be realized. Amaore than that, the company’s goal to improve performance. Performance assessment is a subjective process that involves human judgments. Thus, performance assessment is very likely wrong and very easily influonced by sources that are not actual, so it must be taken into account and considered reasinable. Frformance appraisals are considered  to meet the target if it has a good impact on new employees who rated their performance. Simple linear regression analysis using SPSS version 12:00 data processing obtained tegression equation Y = 0,487 X 74 + with an explanation of X = award, 74 = constant, 0.487 = coefficient awards, and Y = performance based on simple linear regression equation in case of increase of one unit of the  performance award will be increased 0.487 units. If company policy negates the performance award will remain at a constant rate (74) units . (A) Test results obtained thitung significant constants of (12.574) > t table for (1.960 then reject Ho constanta significant meaning. (B) significant Test award coefficient t count the results obtained by (2.164)> t table foe (1.96) then reject Ho the mean coeffent of appreciation affect the performance . (C) correlation coefficient analysis is done by calculating the product moment corration (pearson)  to test  whether or not a strong  relationship between the variables X  dan Y , based on the results of cakculations with SPSS  table valuse obtained by calculating the  correlation coefficient r (0.3100> r on the table for a = 0,05 (0.291) then reject Ho, which means there is a relationship of respect for performance. When we enter these valuse in the table shows the interpretation of the correlation coefficient between the interval from 0.20 to 0.399 which has a low relationship

A FORECAST OF PRODUCTIVE LONGEVITY OF HOLSTEIN COWS BY INDIRECT SIGNS

2020 ◽  
Author(s):  
З.С. САНОВА
Keyword(s):  
Correlation Coefficient ◽  
Aging Process ◽  
Direct Relationship ◽  
Stability Index ◽  
Age At First Calving ◽  
Group I ◽  
Predicted Values ◽  
The Stability ◽  
Relationship Of ◽  
The Relationship

В статье представлены материалы о взаимосвязи продолжительности продуктивного использования коров с характеристикой устойчивости к деградации, с возрастом отела и удоем. В исследованной, разнородной по происхождению, группе животных для прогноза продуктивного периода коров, обусловленного устойчивостью к деградации и возрастом первого отела, пригодно уравнение регрессии, аргументами в котором являются индекс устойчивости, возраст первого отела в первой и второй степенях. Коэффициент корреляции межу предсказанными значениями продуктивного периода и его фактическими величинами в I группе составляет 0,502, во II - 0,604. При этом крайние варианты прогнозируются со статистическими ошибками 5 мес при оценке индекса устойчивости по 2 лактациям и 4,1 мес по 3, а средние варианты, соответственно, 1,6 и 1,51 мес. Индекс устойчивости к процессу старения является важной характеристикой биологических особенностей коров, определяющий их продуктивное долголетие. Его оценка по первым 2 и 3 лактациям имеет прямолинейную связь с продуктивным периодом (r=0,4109 и r=0,5270), соответственно. Зависимость продуктивного периода от возраста первого отела криволинейная — с увеличением возраста первого отела сокращается срок продуктивного использования, при возрасте первого отела более 1400 дней срок продуктивного использования колеблется от 1,33 до 1,41 лактации. Коэффициент корреляции между этими характеристиками коров составляет - 0,2164 в I и - 0,2620 во II группах. The article presents materials about the relationship of the duration of productive use of cows with the characteristic of resistance to degradation, with the age of calving and milk yield. In the studied group of animals, which is heterogeneous in origin, the regression equation is suitable for predicting the productive period of cows due to resistance to degradation and the age of the first calving, the arguments of which are the stability index, the age of the first calving in the first and second degrees. The correlation coefficient between the predicted values of the productive period and its actual values in group I is 0.502, in group II - 0.604. At the same time, the extreme variants are predicted with statistical errors of 5 months when evaluating the stability index for 2 lactations and 4.1 months for 3, and the average variants, respectively, are 1.6 and 1.51 months. The index of resistance to the aging process is an important characteristic of the biological characteristics of cows, which determines their productive longevity. Its estimate for the first 2 and 3 lactations has a direct relationship with the productive period (r=0.4109 and r=0.5270), respectively. The dependence of the productive period age at first calving curvilinear with increasing age at first calving reduces the time to productive use, while age at first calving of more than 1400 days, the period of productive use ranges from 1.33 to 1.41 lactation. The correlation coefficient between these characteristics of cows is-0.2164 in I and-0.2620 in II groups.

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