• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.3
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• pp.445-451
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• 2014

The related-key attack is regarded as one of the important cryptanalytic tools for the security evaluation of block ciphers. This is due to the fact that this attack can be effectively applied to schemes like block-cipher based hash functions whose block-cipher keys can be controlled as their messages. In this paper, we improve the related-key attack on lightweight block cipher PRINCE proposed in FSE 2013. Our improved related-key attack on PRINCE reduces data complexity from $2^{33}$ [4] to 2.

• Convergence Security Journal
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• v.16 no.4
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• pp.35-41
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• 2016

Recently, the awareness of the domestic information security is very higher due to cyber war and hacking incidents. Yet, the information security professional is very scarce situation. In these circumstances are increasing of a opening the information security related departments of the domestic universities. And the Educational institutions are developed various curriculums. However, the domestic information security curriculum is different depending on the university or department. And there tends to be concentrated on the practical education rather than theoretical education. Therefore, in this paper will be analyzed to the Information security curriculum situation of the domestic Information Security related universities. This is expected to be utilized in a systematic curriculum development of the domestic information security education in a future.

• Journal of National Security and Military Science
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• s.9
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• pp.191-206
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• 2011

This study is presented a scheme that information security research institutions located within the central area can be participated actively m national defense information security industry. The many of information security company are located in the central region(Daejeon) and there are many research institutes. However, the participation rate of the Defense Information Security Industry is not high compared to other provinces. Although a variety of reasons, there are no the Defense Privacy Office that could have a role in protocol and the information about the industry. In addition, the Department of Defense related to national defense information security industry have not information about research institutions in the central region and are not well to identify the characteristics of institutional technology and research. So in this paper we presented some of the alternatives. 1) Building Pool involved in information security research according to the characteristics of each agency 2) Constitute the research community between Research institutions and the company 3) Build the technology cooperation between research institutions and the defense research institutes 4) Utilization of industry/university/research institutes related to Information Security Industry 5) Make strategic alliances among research institutes based on technical expertise.

• International Journal of Computer Science & Network Security
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• v.22 no.10
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• pp.303-309
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• 2022

Software Defined Networking (SDN) is a novel approach that have accelerated the development of numerous technologies such as policy-based access control, network virtualization, and others. It allows to boost network architectural flexibility and expedite the return on investment. However, this increases the system's complexity, necessitating the expenditure of dollars to assure the system's security. Network Function Virtualization (NFV) opens up new possibilities for network engineers, but it also raises security concerns. A number of Internet service providers and network equipment manufacturers are grappling with the difficulty of developing and characterizing NFVs and related technologies. Through Moodle's efforts to maintain security, this paper presents a detailed review of security-related challenges in software-defined networks and network virtualization services.

• Journal of the Korea Convergence Society
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• v.12 no.2
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• pp.247-258
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• 2021

Recently, organizations are demanding strict information security behavior from their employees. Strict information security policies and techniques can cause information security related stress. The purpose of this study is to present the negative effects of information security related techno stress and role stress that reduce knowledge sharing behavior and person-organization fit. The survey was conducted to people working in organizations with information security policies and system, and the research hypothesis was verified by structural equation modeling using 309 samples. As a result of the study, person-organization fit had a positive effect on knowledge sharing behavior, but role stress had a negative effect. And, techno-stress negatively affected the person-organization fit. Additionally, role ambiguity had a moderating effect between person-organization fit and knowledge sharing behavior. The implications of the study were to confirm the negative effects of information security related techno stress and role stress, and to suggest directions for minimizing negative behavior of insiders.

• Asia pacific journal of information systems
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• v.26 no.2
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• pp.290-298
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• 2016

Human cognition and decision-making related to information systems (IS) is a major area of interest in IS research. Among these areas, cognitive bias rooted in behavioral economics is gaining considerable attention from researchers. In the present study, we identify the role of cognitive biases and discuss how they shape the information security behavior. We also seek research opportunities to provide directions and implications for future research.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.6
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• pp.1818-1832
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• 2022

Violence in the Internet era poses a new challenge to the current counter-riot work, and according to research and analysis, most of the violent incidents occurring are related to the dissemination of violence images. The use of the popular deep learning neural network to automatically analyze the massive amount of images on the Internet has become one of the important tools in the current counter-violence work. This paper focuses on the use of transfer learning techniques and the introduction of an attention mechanism to the residual network (ResNet) model for the classification and identification of violence images. Firstly, the feature elements of the violence images are identified and a targeted dataset is constructed; secondly, due to the small number of positive samples of violence images, pre-training and attention mechanisms are introduced to suggest improvements to the traditional residual network; finally, the improved model is trained and tested on the constructed dedicated dataset. The research results show that the improved network model can quickly and accurately identify violence images with an average accuracy rate of 92.20%, thus effectively reducing the cost of manual identification and providing decision support for combating rebel organization activities.

• International Journal of Contents
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• v.11 no.3
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• pp.14-23
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• 2015

This paper presents the findings of a study in which students at a four-year university were surveyed in an effort to analyze and verify the differences in perceived security awareness, security-related activities, and security damage experiences when using smartphones, based on demographic variables such as gender, academic year, and college major. Moreover, the perceived security awareness items and security-related activities were tested to verify whether they affect the students' security damage experience. Based on survey data obtained from 592 participants, the findings indicate that demographic differences exist for some of the survey question items. The majority of the male students replied "affirmative" to some of the questions related to perceived security awareness and "enthusiastic" to questions about security-related activities. Some academic year differences exist in the responses to perceived security awareness and security-related activities. On the whole, freshmen had the lowest level of security awareness. Security alert seems to be very high in sophomores, but it decreases as the students become older. While the difference in perceived security awareness based on college major was not significant, the difference in some security-related activities based on that variable was significant. No significant difference was found in some items such as storing private information in smartphones and frequency of implementation of security applications based on the college major variable. However, differences among the college majors were verified in clicking hyperlinks in unknown SMS messages and in the number of security applications in smartphones. No differences were found in security damage experiences based on gender, academic year, and college major. Security awareness items had no impact on the experience of security damage in smartphones. However, some security activities, such as storing resident registration numbers in a smartphone, clicking hyperlinks in unknown SMS messages, the number of security apps in a smartphone, and the frequency of implementation of security apps did have an impact on security damage.

• International Journal of Computer Science & Network Security
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• v.21 no.6
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• pp.245-251
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• 2021

This work aims to focus on the current features and characteristics of Human Element and Artificial intelligence (AI), ask some questions about future information security, and whether we can avoid human errors by improving machine learning and AI or invest in human knowledge more and work them both together in the best way possible? This work represents several related research results on human behavior towards information security, specified with elements and factors like knowledge and attitude, and how much are they invested for ISA (information security awareness), then presenting some of the latest studies on AI and their contributions to further improvements, making the field more securely advanced, we aim to open a new type of thinking in the cybersecurity field and we wish our suggestions of utilizing each point of strengths in both human attributions in software security and the existence of a well-built AI are going to make better future software security.

• Korean Management Science Review
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• v.31 no.4
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• pp.1-13
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• 2014

This study aims to expand the future study methodology and to develop a methodology of future-oriented curriculum analysis with future skills needs derived from patent analysis. With the case of information security, the methodology is applied to the 16 universities, which have information security department in undergraduate course. From the results, the followings are suggested : 1) for the increasing importance area including hacking, infiltration and PC security, a practical exercise should be emphasized; 2) for the convergence area including security policy, security legislation and OS security, proper faculties should be filed with recruiting field-based experts; 3) for the increasing importance area including professional area including security audit and information security protocol, the advanced curriculum related to graduate level should be provided.