Factor analysis on information security management in higher education institutions

Sari, Puspita Kencana; Nurshabrina, Nadiailhaq; Candiwan, Candiwan

doi:10.1109/citsm.2016.7577518

Cited by 8 publications

(11 citation statements)

References 4 publications

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“…Young people use social networks especially actively. This is confirmed by studies that show that recently more than half of their contacts with their peers are made by young people on social networks [1][2][3][4][5][6][7][8].…”

Section: Figure 1 the Main Threats To The Security Of Educational Institutionsmentioning

confidence: 60%

“…The recommendations pay special attention to the timely notification of students and teachers about events that have occurred on the territory, educational and other facilities of educational institutions. To this end, it is proposed to equip reliable and effective notification systems in educational institutions, which allow to maintain communication with each student and employee of the educational institution [1][2][3][4][5][6].…”

Section: Figure 1 the Main Threats To The Security Of Educational Institutionsmentioning

confidence: 99%

“…This is due to the fact that recently foreign educational institutions are often the object of various criminal encroachments. Including such dangerous as hostage-taking by criminals, terrorist acts, shooting of students with automatic firearms, theft and damage to property [1][2][3][4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

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Experience of Leading Countries of the World Regarding the Organization of Education Institutions Security

Laptiev¹,

Zakharov²

2021

EFMR

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Recently, in all countries of the world there is a question of ensuring the safety of all participants in the educational process of relations between educational institutions. That is why the aim of the article was to study the experience of leading countries in the field of security in educational institutions. The research methodology included a comparative analysis of the world's efforts to ensure security in educational institutions and the search for new ways to improve. The main threats to the security of educational institutions have been identified, namely: terrorist acts; the impact on students of persons who use psychoactive substances; inadequate actions of people with mental disorders; criminal actions of criminal elements; interpersonal conflicts in study groups; man-made disasters, fires, etc. It is established that the system of identification of their employees -teachers, students and other members of the educational staff is of great importance for ensuring the security of educational institutions. It was found that trainings and other types of training are conducted for all participants of the educational process to ensure the safety of educational institutions. Educational institutions of the world's leading countries have formed their security policy in internal documents, which define the main directions, principles, tasks and technologies of activities to combat external and internal threats.

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Section: Figure 1 the Main Threats To The Security Of Educational Institutionsmentioning

confidence: 60%

Section: Figure 1 the Main Threats To The Security Of Educational Institutionsmentioning

confidence: 99%

See 1 more Smart Citation

Experience of Leading Countries of the World Regarding the Organization of Education Institutions Security

Laptiev¹,

Zakharov²

2021

EFMR

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“…These results can be used to design the objective and provide a good method that is suitable for discipline estimation [27]. The process of factor analysis can be explained with the five steps of dimensional reduction [30] as follows:…”

Section: Factor Analysismentioning

confidence: 99%

“…Kaiser-Meyer-Olkin Measurement of Sampling Adequacy (KMO) is a measurement on the appropriateness of the respondent data which will be used in the factor analysis. This test will be used to assess the adequacy of correlation matrices for the factor analysis [28], [30], [31].…”

Section: Step 2: Testing the Variable Using Kaiser-meyer-olkin Measurmentioning

confidence: 99%

Criteria Redesign for Student Loan Consideration Using Factor Analysis and Data Clustering Approach

2019

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This paper presents the importance of redesigning the student loan consideration criteria which had been revealed to have some fault in evaluating the candidates. The historical data of student loan candidates elicited from their application form in the 2016 academic year was collected and analyzed by using Factor Analysis. There are 507 samples with 17 information attributes. The factor analysis reduced the dimensions of the variance in the samples by identifying the discriminative factors for student loan consideration. The experimental result shows that only nine factors were identified as discriminative factors, which are 1) Part-time job taken by the student, 2) Other scholarships that the student had been receiving, 3) Father’s salary, 4) Family ownership of the land, 5) House rental expense, 6) Number of siblings in the family, 7) Number of siblings currently studying, 8) Amount of money that the student get from other scholarships, and 9) Parental Marital Status. The clustering technique was used to measure the group of important factors reduced from the factor analysis. The clustering result showed that the clusters are obviously separated from each other. Therefore, these discriminative factors were elicited by using factor analysis which can be used to reconstruct the student loan consideration criteria and implement a decision support system.

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Adoption of Cybersecurity Innovations—A Systematic Literature Review

Vestad,

Yang

2024

Springer Proceedings in Complexity

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Factor analysis on information security management in higher education institutions

Cited by 8 publications

References 4 publications

Experience of Leading Countries of the World Regarding the Organization of Education Institutions Security

Experience of Leading Countries of the World Regarding the Organization of Education Institutions Security

Criteria Redesign for Student Loan Consideration Using Factor Analysis and Data Clustering Approach

Adoption of Cybersecurity Innovations—A Systematic Literature Review

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