• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.2
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• pp.551-558
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• 2016

The recent convergence in ICT industry has created new businesses as well as other opportunities. However, it entails new convergence threat accompanied by security risks. Even though there are security professionals who are dealing with the situation, there is not enough human resource in risk management. Moreover, the amount of research that studies quality of education and training security personnel is not sufficient. This paper explores the curriculum of information security education in the private sector and reasons out fifteen standard curriculums in four professional fields categorized by job classification. In addition, it provides a weighted score table based on the evaluation indicator for the effective security education certificates in the private sector.

• The Journal of Society for e-Business Studies
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• v.20 no.1
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• pp.201-215
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• 2015

Recently advanced security threats have increasingly occurred, and the necessity and importance of Information Security has been growing with the advent of the era of convergence beyond information-oriented age. Most domestic studies in the field of occupational classification of Information Security have only focused on technology-oriented occupations. Relatively little research has been carried out on the occupational classification in the view of convergence environment. Therefore, in this paper we gave a definition of Information Security occupations, classified them and draw required capabilities by occupations in order to design the occupational classification system of Information Security and the required capabilities for future convergence environment by analyzing the previous studies. We also reclassified the occupational classification and required capabilities by occupations, and verified the validity of them based on National Initiative for Cybersecurity Education's the occupational classification system of Information Security considering the future convertgence environment. It is expected that the results of this study will be employed as base data for manpower demand and supply and improvement of working conditions in the future convergence environments. In the future study we will build standardized instruction methods which provide occupational capabilities by using the required capabilities by occupations.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.19 no.2
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• pp.83-92
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• 2009

As the innovative internet technologies and multimedia are being rapidly developed, malicious codes are a remarkable new growth part and supplied by various channel. This project presents a classification methodology for malicious codes in Windows OS (Operating System) environment, develops a test classification system. Thousands of malicious codes are brought in every day. In a result, classification system is needed to analyzers for supporting information which newly brought malicious codes are a new species or a variety. This system provides the similarity for analyzers to judge how much a new species or a variety is different to the known malicious code. It provides to save time and effort, to less a faulty analysis. This research includes the design of classification system and test system. We classify the malicious codes to 9 groups and then 9 groups divide the clusters according to the each property.

• International Journal of Computer Science & Network Security
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• v.21 no.4
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• pp.28-32
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• 2021

The article discusses the theoretical and methodological part that characterizes and assessment of the current state of the theory of GR-activity, disclosed the essence and content of the concept of GR-technologies, as well as their classification. The analysis of the system of additional education for children in the social structure, as well as the analysis of the current state of the education system is carried out. The formulation of tasks for the construction of an effective model for the use of GR-technologies in the process of developing the education system using GR-technologies

• International Journal of Computer Science & Network Security
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• v.21 no.9
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• pp.173-178
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• 2021

The article reveals the essence of the concept of "pedagogical innovation" and identifies trends in the development of a modern educational institution. A qualitative analysis of the scientific literature in the field of innovation science has been carried out. The essence of the concept of "pedagogical innovation" is revealed. The modern classification of pedagogical innovations is given. The factors of the success of the introduction of pedagogical innovations are determined. The main trends in the development of modern educational institutions are outlined.

• International Journal of Computer Science & Network Security
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• v.21 no.12spc
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• pp.383-390
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• 2021

The main purpose of the study is to determine the features of the functioning of the university as a part of the state structure in the context of marketing management n the context of storing information technologies. Students were obtained due to the following theoretical methods: systems of analysis and synthesis, induction and deduction, comparison, classification, generalization and systematization, idealization and abstraction. It is advisable to study the essence and nature of educational services, as well as the role of education in economic development, relying on the methodology of institutional theory, the theory of stakeholders, which makes it possible to assess the contribution of education to the harmonization of public and individual interests, the formation of appropriate structures and subjects of development, ensuring the building of intellectual potential and quality of life. The specificity of the functioning of the university as a part of the state structure in terms of managing marketing activities was characterized.

• International Journal of Computer Science & Network Security
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• v.23 no.10
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• pp.135-146
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• 2023

An effective educational program warrants the inclusion of an innovative construction which enhances the higher education efficacy in such a way that accelerates the achievement of desired results and reduces the risk of failures. Educational Decision Support System (EDSS) has currently been a hot topic in educational systems, facilitating the pupil result monitoring and evaluation to be performed during their development. Insufficient information systems encounter trouble and hurdles in making the sufficient advantage from EDSS owing to the deficit of accuracy, incorrect analysis study of the characteristic, and inadequate database. DMTs (Data Mining Techniques) provide helpful tools in finding the models or forms of data and are extremely useful in the decision-making process. Several researchers have participated in the research involving distributed data mining with multi-agent technology. The rapid growth of network technology and IT use has led to the widespread use of distributed databases. This article explains the available data mining technology and the distributed data mining system framework. Distributed Data Mining approach is utilized for this work so that a classifier capable of predicting the success of students in the economic domain can be constructed. This research also discusses the Intelligent Knowledge Base Distributed Data Mining framework to assess the performance of the students through a mid-term exam and final-term exam employing Multi-agent system-based educational mining techniques. Using single and ensemble-based classifiers, this study intends to investigate the factors that influence student performance in higher education and construct a classification model that can predict academic achievement. We also discussed the importance of multi-agent systems and comparative machine learning approaches in EDSS development.

• The Journal of Society for e-Business Studies
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• v.20 no.3
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• pp.113-125
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• 2015

Information Security Incidents that have recently happen rapidly spread and the scale of that incidents' damage is large. In addition, as it proceeds to the era of converged industry in the future environment and the virtual cyber world expands to the physical world, new types of security threats have occurred. Now, it is time to supply security professionals who have a multi-dimensional security capabilities that can manage the strategies of technological security and physical security from the management point of view, rather than the ones who primarily focus on the traditional technologic-centered strategies to solve new types of security threats. In conclusion, in this paper we try to produce the curriculum of information security featured in the occupational classification system and analyze the subjects that are additionally required for those who move to other occupations to cultivate security professionals who suited to the converged-industrial environment. It is expected that multi-dimensional security professionals who suited to the converged-industrial environment will be cultivated by harmoniously integrating information security subjects from technological and business/managerial perspectives, and education training courses will be developed that effectively provide core knowledges per occupational classification when people moves to other occupations in the areas of information security.

• International Journal of Computer Science & Network Security
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• v.22 no.7
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• pp.421-426
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• 2022

This study aimed to determine the effectiveness of the Moodle system in the organization of independent work of students of pedagogical profile.The purpose of the article is to analyze the Moodle platform as an innovative element of educational and pedagogical strategies and a component of the educational and methodological content for the self-study of students.Methodology is divided into clusters: general scientific (analysis, classification), ICT methods (modeling, informatization), and philosophical (synergetics). The study revealed the reorientation of Moodle from an auxiliary element to an alternative format in the organization of independent work of student teachers. Prospects for further scientific research determined in the interest of all participants in the educational process in the further development of Moodle as an effective tool for self-education of future teachers.

• International Journal of Computer Science & Network Security
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• v.22 no.10
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• pp.171-176
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• 2022

A dramatic rise in the number of people dying from heart disease has prompted efforts to find a way to identify it sooner using efficient approaches. A variety of variables contribute to the condition and even hereditary factors. The current estimate approaches use an automated diagnostic system that fails to attain a high level of accuracy because it includes irrelevant dataset information. This paper presents an effective neural network with convolutional layers for classifying clinical data that is highly class-imbalanced. Traditional approaches rely on massive amounts of data rather than precise predictions. Data must be picked carefully in order to achieve an earlier prediction process. It's a setback for analysis if the data obtained is just partially complete. However, feature extraction is a major challenge in classification and prediction since increased data increases the training time of traditional machine learning classifiers. The work integrates the CNN-MDRP classifier (convolutional neural network (CNN)-based efficient multimodal disease risk prediction with TANFIS (tuned adaptive neuro-fuzzy inference system) for earlier accurate prediction. Perform data cleaning by transforming partial data to informative data from the dataset in this project. The recommended TANFIS tuning parameters are then improved using a Laplace Gaussian mutation-based grasshopper and moth flame optimization approach (LGM²G). The proposed approach yields a prediction accuracy of 98.40 percent when compared to current algorithms.