• Korean Journal of Community Nutrition
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• v.16 no.6
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• pp.771-781
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• 2011

The objective of this study was to assess the reliability and validity of food security measures, which was developed based on the US household food security survey module (US HFSSM) with content validity in the Korean population. The reliability and validity were assessed by internal consistency, construct validity and criterion-related validity. The study included 446 households. Among those, 46.2% were households with children. The proportion of food insecure households was 33.3%. Among those, 35.4% and 64.6% households were food insecure with hunger and without hunger, respectively. The Cronbach's alpha coefficients were 0.84 and the infit value by the Rasch model analysis ranged from 0.68 to 1.43. The scale item response curves by food insecurity severity explained well the nature and characteristics of food security, indicating the highest proportion of "yes" for the items on diet quality, followed by those with diet quantity. The result of criterion-related validity showed that food insecurity status was significantly related in a dose-response manner with the household income level, food expenditure, subjective health state, subjects' educational level. Household food security status was also related to dietary diversity regarding protein foods, fruits and fruit juice, and milk and dairy product. These findings suggest that the food security instrument is reliable and valid and would be used to assess food security status in the Korean population.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.1
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• pp.195-205
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• 2014

These days cyber attacks are increasing all over the world, and the national critical infrastructure and information network protection has become important. For this reason, the concentrated investment in information security and development of professional human resource are essential, but there is a shortage of information security workforce in Korea. Currently, departments of information security in domestic universities make efforts to develop human resource of information security and have a increasing interest in the curriculum design. So this paper investigates the curriculums of information security in domestic universities and graduate schools. And then, it compares with the needs of industry knowledge and skills by using SPSS. Through this analysis, we will get implications about curriculum design of Information security.

• International Journal of Computer Science & Network Security
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• v.22 no.8
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• pp.67-74
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• 2022

This study is a theoretical account of HRs requirements in educational institutions in light of the growing influence of digital technology on human rights. It intends to reveal prominent human and civilizational values encapsulated in modern human rights regulations. It dwells on educational and societal requirements for educational inclusion in the school and university curricula in light of changes that have taken place in HRs in the digital age. Relying on the descriptive documentary research design, the study concluded that HRs are inherently moral duties and fixed values. They include the importance of tolerance, freedom, peace, justice, science, work, and equality. Because education is arguably based on human and civilized values, educational foundations require intake of awareness, systematic integration and responsibility from all academic and community institutions, including family and media institutions. The article closes on a note of how technology has impacted human rights in the digital age. It provides implications and recommendations to pedagogies accordingly.

• International Journal of Computer Science & Network Security
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• v.22 no.11
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• pp.57-62
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• 2022

Today, in many countries of the world, the problems of forming and implementing anti-corruption policies are among the most pressing, since the scale of the spread of corruption poses a real threat to national security and democratic development. Without a victory over corruption as a system of social relations, any country will never be able to ensure the safety of its citizens, have a high standard of living, build an efficient economy and a democratic state based on the rule of law, protect its sovereignty, and become competitive among the developed countries of the world community. The main purpose of the article is to analyze the key aspects of the anti-corruption policy of ensuring public order in the state security system. The research methodology includes methods for researching aspects of the anti-corruption policy of ensuring public order in the state security system. Based on the results of the study, the main aspects of the anti-corruption policy of ensuring public order in the state security system are characterized.

• Journal of Platform Technology
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• v.9 no.2
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• pp.26-37
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• 2021

E-mail is one of the important tools for communicating with people in everyday life. With COVID-19 (Coronavirus) increasing non-face-to-face activity, security incidents through e-mail such as spam, phishing, and ransomware are increasing. E-mail security incidents are increasing as social engineering attack using human psychology rather than arising from technological weaknesses that e-mails have. Security incidents using human psychology can be prevented and defended by improving security awareness. This study empirically studies the analysis of changes in response to malicious e-mail due to improved security awareness through malicious e-mail simulations on executives and employees of domestic and foreign company. In this study, the factors of security training, top-down security management, and security issue sharing are found to be effective in safely responding to malicious e-mail. This study presents a new study by conducting empirical analysis of theoretical research on security awareness in relation to malicious e-mail responses, and results obtained from simulations in a practical setting may help security work.

• Convergence Security Journal
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• v.23 no.5
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• pp.65-72
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• 2023

This paper proposes a method for detecting malicious domains considering human habitual characteristics by building a Deep Learning model based on LSTM (Long Short-Term Memory). DGA (Domain Generation Algorithm) malicious domains exploit human habitual errors, resulting in severe security threats. The objective is to swiftly and accurately respond to changes in malicious domains and their evasion techniques through typosquatting to minimize security threats. The LSTM-based Deep Learning model automatically analyzes and categorizes generated domains as malicious or benign based on malware-specific features. As a result of evaluating the model's performance based on ROC curve and AUC accuracy, it demonstrated 99.21% superior detection accuracy. Not only can this model detect malicious domains in real-time, but it also holds potential applications across various cyber security domains. This paper proposes and explores a novel approach aimed at safeguarding users and fostering a secure cyber environment against cyber attacks.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.27 no.3
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• pp.531-539
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• 2017

CAPTCHA is a verification scheme whether or not a human user has made a service request. Most CAPTCHAs that are based on text, image, or simple game suffer from vulnerability that can be compromised by automated attacks and stream relay attacks. To resist such attacks, CAPTCHA that utilizes human recognition as been suggested but it show poor usability for deploying in the Internet. We propose an Emerging Image Cue CAPTCHA that offers improved usability and resists stream relay attacks, as well. We also examine the usability of the proposed CAPTCHA and investigate the attack resistance by conducting user study and experiments on simulated network environment.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.2
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• pp.734-750
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• 2012

CAPTCHAs are automated tests that are there to avoid misuse of computing and information resources by bots. Typical text-based CAPTCHAs are proven to be vulnerable against malicious automated programs. In this paper, we present an image-based CAPTCHA scheme using easily identifiable human appearance characteristics that overcomes the weaknesses of current text-based schemes. We propose and evaluate two applications for our scheme involving 25 participants. Both applications use same characteristics but different classes against those characteristics. Application 1 is optimized for security while application 2 is optimized for usability. Experimental evaluation shows promising results having 83% human success rate with Application 2 as compared to 62% with Application 1.

• International Journal of Computer Science & Network Security
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• v.21 no.2
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• pp.221-228
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• 2021

Recent improvements on the quality, fidelity and availability of biometric data have led to effective human physical activity detection (HPAD) in real time which adds significant value to applications such as human behavior identification, healthcare monitoring, and user authentication. Current approaches usually use machine-learning techniques for human physical activity recognition based on the data collected from wearable accelerometer sensor from a single wearable smart device on the user. However, collecting data from a single wearable smart device may not provide the complete user activity data as it is usually attached to only single part of the user's body. In addition, in case of the absence of the single sensor, then no data can be collected. Hence, in this paper, a continuous HPAD will be presented to effectively perform user activity detection with mobile service infrastructure using multiple wearable smart devices, namely smartphone and smartwatch placed in various locations on user's body for more accurate HPAD. A case study on a comprehensive dataset of classified human physical activities with our HAPD approach shows substantial improvement in HPAD accuracy.

• International Journal of Computer Science & Network Security
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• v.23 no.2
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• pp.133-139
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• 2023

As the old saying goes "a picture is worth a thousand words" data visualization is essential in almost every industry. Companies make Data-driven decisions and gain insights from visual data. However, there is a need to investigate the role of data visualization in human resource management. This review aims to highlight the power of data visualization in the field of human resources. In addition, visualize the latest trends in the research area of human resource and data visualization by conducting a quantitative method for analysis. The study adopted a literature review on recent publications from 2017 to 2022 to address research questions.