• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.5
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• pp.1001-1011
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• 2014

Smart Grid Devices could have security vulnerabilities that have legacy communication networks because of the fact that Smart Grid employs bi-directional communications and adopted a variety of communication interface. Consequently, it is required to build concrete response processes and to minimize the damage of the cyber attacks including security evaluation and certification methods. DCU is designed to collect meter data from numerous smart meter and send to utility's server so DCU installed between smart meter and utility's server. For this reason, If DCU compromised by attacker then attacker could use DCU to launching point for and attack on other devices. However, DCU's security evaluation and certification techniques do not suffice to be deployed in smart grid infrastructure. This work development DCU protection profile based on CC, it is expected that provide some assistance to DCU manufacturer for development of DCU security target and to DCU operator for help safety management of DCU.

• Journal of the Korea Society of Computer and Information
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• v.18 no.8
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• pp.149-156
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• 2013

TAmong various forms of online shopping with the development of online shopping and the rapid growth of IT technology, the intense competition also more deepen. The strategies for differentiated marketing and features for competitiveness of businesses in the online and offline shopping areas are required that our marketing target be settled the flower marketing by analyzing. In case of the flower market, the movement of the market from offline market to online market has been occurred and processed concurrently. Market entry and competitiveness of small companies is becoming very difficult because larger companies have been formed national market networks. Therefore, in this research, we suggest ways to enhance flower delivery service to the market from the top ranked site analysis, market situation analysis and service strategy plan for the activation of the online flower market. Also, we describe how to realize the above mentioned strategies through a site building. We can expect to strengthen flower market activation and competitiveness through the flower delivery service enhancement.

• Journal of the Korea Convergence Society
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• v.12 no.12
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• pp.281-286
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• 2021

This study is a basic study on COVID-19 and human quality of life. The purpose of the study is to reveal what changes are made in people's lives after a disaster and to provide basic data for crisis intervention research to effectively improve life satisfaction after a disaster to all subjects living in this era. As a result of the study, changes in life before and after COVID-19 differed depending on the subject. COVID-19 is certainly a major disaster for our society. In order to wisely cope with such a disaster situation, it can be said that a crisis intervention program is urgently needed. It can be said that a program is required to immediately focus on the crisis situation according to the target and evaluate the current difficulties to understand the client's response to the situation and relieve their feelings such as anger and anxiety.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.17 no.5
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• pp.73-86
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• 2007

Numerous types of models have been developed in recent years in response to the cyber threat posed by worms in order to analyze their propagation and predict their spread. Some of the most important ones involve mathematical modeling techniques such as Epidemic, AAWP (Analytical Active Worm Propagation Modeling) and LAAWP (Local AAWP). However, most models have several inherent limitations. For instance, they target worms that employ random scanning in the entire nv4 network and fail to consider the effects of countermeasures, making it difficult to analyze the extent of damage done by them and the effects of countermeasures in a specific network. This paper extends the equations and parameters of AAWP and LAAWP and suggests ALAAWP (Advanced LAAWP), a new worm simulation technique that rectifies the drawbacks of existing models.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.1
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• pp.107-115
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• 2012

The level of information protection is relatively low, in comparison with the informatisation in this country. The budget for information protection is also quite marginal at 5% of the entire information-related policy budget. The passive information protection practices by companies, which focus more on the aftermaths, lead to repeated expenses for risk management. The responses to the violation of information protection should be changed from the current aftermaths-oriented focus to prevention and early detection of possible violations. We should also realize that the response to a violation of protected information is not a responsibility of an individual but a joint responsibility of the nation and the industry. South Korea has been working towards to building a systematic foundation since 2004 when guidelines were announced regarding the information protection policy and the safety diagnosis. The current level of safety policies cannot provide a perfect protection against actual violation cases in administrative, technological and physical ways. This research evaluates the level of prevention that the current systematic protection policy offers, and discusses its limitation and possible ways for improvement. It also recommends a list effective measures for protection against information violation that companies can employ to maintain the actual target safety level.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.2
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• pp.225-238
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• 2012

Among the various security threats in online games, the use of game bots is the most serious problem. In this paper, we propose a framework for user behavior analysis for bot detection in online games. Specifically, we focus on party play that reflects the social activities of gamers: In a Massively Multi-user Online Role Playing Game (MMORPG), party play log includes a distinguished information that can classify game users under normal-user and abnormal-user. That is because the bot users' main activities target on the acquisition of cyber assets. Through a statistical analysis of user behaviors in game activity logs, we establish the threshold levels of the activities that allow us to identify game bots. Also, we build a knowledge base of detection rules based on this statistical analysis. We apply these rule reasoner to the sixth most popular online game in the world. As a result, we can detect game bot users with a high accuracy rate of 95.92%.

• Journal of Software Assessment and Valuation
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• v.16 no.2
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• pp.9-23
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• 2020

Microsoft's Windows system is widely used as an operating system for the desktops and enterprise servers of companies or organizations, and is a major target of cyber attacks. Microsoft provides various protection technologies and strives for defending the attacks through periodic security patches, however the threats such as DLL injection and process injection still exist. In this paper, we analyze 12 types of injection techniques in Microsoft Windows, and perform injection attack experiments on four application programs. Through the results of the experiments, we identify the risk of injection techniques, and verify the effectiveness of the mitigation technology for defending injection attacks provided by Microsoft. As a result of the experiments, we have found that the current applications are vulnerable to several injection techniques. Finally, we have presented the mitigation techniques for these injection attacks and analyzed their effectiveness.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.189-193
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• 2021

This study purports to depict the generational topography of welfare attitudes of Korean people. Three generational groups are made for analytical purpose, 'between 20-39 age group', 'between 40-59 age group', and '60 and older'. Two major statistical techniques are used, the analysis of variance and correspondence analysis. The analysis of variance shows that the respondents' attitudes upon 'social services target(universal vs selective)', 'education', 'housing', 'child-care', 'youth support', and 'employment' varies significantly by age groups. Correspondence analysis also shows that 'between 20-39 age group' is located with proximity with 'child-care', 'employment', and 'housing', while '60 and older' is located with 'poverty' and 'old age life care'. Clearly this study shows that there is generational difference on welfare consciousness in many areas of social policy. Overall, the results show that significant generational differences with regard to welfare attitudes clearly exist in current Korean society.

• Convergence Security Journal
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• v.22 no.5
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• pp.3-9
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• 2022

Recently, in order to build a cyber physical system(CPS) that is a technology related to the 4th industry, the construction of the virtual control system for physical model and control circuit simulation is increasingly required in various industries. It takes a lot of time and money to convert documents that are not electronically documented through direct input. For this, it is very important to digitize a large number of drawings that have already been printed through object recognition using artificial intelligence. In this paper, in order to accurately recognize objects in drawings and to utilize them in various applications, a recognition technique using artificial intelligence by analyzing the characteristics of objects in drawing was proposed. In order to improve the performance of object recognition, each object was recognized and then an intermediate file storing the information was created. And the recognition rate of the next recognition target was improved by deleting the recognition result from the drawing. In addition, the recognition result was stored as a standardized format document so that it could be utilized in various fields of the control system. The excellent performance of the technique proposed in this paper was confirmed through the experiments.

• Convergence Security Journal
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• v.23 no.2
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• pp.75-84
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• 2023

Recently, as the use of drones for military purposes is increasing, such as the Russia-Ukraine War, North Korea's reconnaissance against South Korea, and Army Tiger 4.0's dronebot system, anti-drone technology is developing a lot in each country. However, traditional anti-drone technologies in the form of using conventional weapons or electronic warfare weapons have the disadvantage of being expensive, so anti-drone technologies that can be performed at low cost are currently being newly researched. Therfore, in response to these anti-drone technologies, many efforts are being made to increase the survivability of our allies. In line with this trend, this study assumes a virtual anti-drone system applied with cyber domain and electronic warfare domain technologies that can be performed at low cost, rather than a technique using expensive conventional weapons or electronic warfare weapons among various anti-drone technologies. In response to this, we would like to present a plan to increase the survivability of friendly drones.