• Journal of the Korean Institute of Educational Facilities
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• v.18 no.4
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• pp.45-56
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• 2011

The purpose of this study is to suggest the application method of CPTED for safer schools. For the evaluation of the school safety, we invented the school survey checklist based on the principles of CPTED such as natural surveillance, access control, maintenance, and activity support. The checklist is consisted of three parts of schools including boundary, outside of the building, and inside of the building. For the field survey of schools, the 30 schools(elementary, middle, and high school) were selected in Seoul and Kyong-gi area as the crime rate. The result of this study shows the safety score for the most of schools were not satisfied. In addition, we realized the diverse strategies to enhance the school safety should be applied to schools in terms of CPTED. The detailed findings and policy implications will be discussed in the context.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.3
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• pp.118-123
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• 2021

Recently, digital crime is becoming more intelligent, and efficient digital forensic techniques are required to collect evidence for this. In the case of important files related to crime, a specific person may intentionally delete the file. In such a situation, data recovery is a very important procedure that can prove criminal charges. Although there are various methods to recover deleted files, we focuses on the recovery technique using HxD editor. When recovering a deleted file using the HxD editor, check the file structure and access the file data area through calculation. However, there is a possibility that errors such as arithmetic errors may occur when a file approach through calculation is used. Therefore, in this paper, we propose an algorithm that automatically calculates the header and footer of a file after checking the file signature in the root directory for efficient file recovery. If the algorithm proposed in this paper is used, it is expected that the error rate of arithmetic errors in the file recovery process can be reduced.

• Korean Security Journal
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• no.13
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• pp.487-505
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• 2007

This study is to examine relations between the number of occurrence of big five critical crimes that consist of homicide, robbery, rape, theft, violence and the number of the security companies and the security guards, and between the number of the security companies, the security guards and the number of arrests from the big five critical crimes. To achieve this objective, this research selects a subject of study, the number of the security companies and security guards, and the number of occurrences of the big five critical crimes and arrests of the big five crimes from 1990 to 2005. The selected data are then analyzed according to the variables using SPSS 12.0. Each hypothesis is verified with the level of significance ${\alpha}$=.05 using the statistical techniques such as Correlation Analysis, Regression Analysis, etc. The following is the result of the study: First, the number of occurrences of the big five critical crimes affects the number of the security companies at a significant level. Second, the number of the security companies affects the number of arrests of the big five crime at a significant level.

• Korean Security Journal
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• no.10
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• pp.273-292
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• 2005

The purpose of this study was to delve into all sorts of literature concerned in a bid to suggest how the Public Law Enforcement and private Security sector could join forces in preventing crimes and guaranteeing the safety of people. Quite naturally, crime has increased greatly to become one of the major social problems. Crime has been conventionally recognized as 'something' to be prevented and controlled by public law enforcement. However, the rate of crime increase has been so rapid that public law enforcement alone could not effectively control the everincreasing and diversified crimes in our society. To serve as a qualified partner for the police, private security industry should strive to secure excellent manpower and provide education for workers to improve their qualifications. Specifically, they should put sustained efforts into diversifying the types of security business and creating a new market to extend their scope of business and become more competitive. Intensified collaboration between the Public Law Enforcement and private Security security sector is expected to create new synergy in addressing people's needs for safety and enhancing their quality of life.

• Convergence Security Journal
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• v.23 no.5
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• pp.45-55
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• 2023

With the widespread use of digital devices, anonymous communication technologies such as the dark web and deep web are becoming increasingly popular for criminal activity. Because these technologies leave little local data on the device, they are difficult to track using conventional crime investigation techniques. The United States and the United Kingdom have enacted laws and developed systems to address this issue, but South Korea has not yet taken any significant steps. This paper proposes a new blockchain-based crime investigation method that uses physical memory data analysis to track the behavior of anonymous network users. The proposed method minimizes infringement of basic rights by only collecting physical memory data from the device of the suspected user and storing the tracking information on a blockchain, which is tamper-proof and transparent. The paper evaluates the effectiveness of the proposed method using a simulation environment and finds that it can track the behavior of dark website users with a residual rate of 77.2%.

• Convergence Security Journal
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• v.18 no.2
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• pp.69-76
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• 2018

The purpose of this study is to prevent cyber crime in private company systems by applying secure coding and identify its problems. Three experiments were conducted. In Experiment 1, a security manager was participated and gave advise to the developer to follow secure coding guidelines. In Experiment 2, a security manager did not participate, but let the developer himself committed on secure coding. In Experiment 3, a security manager provided reports on weaknesses of each package source to the developer and the developer was only focused on source development. The research results showed that the participation of a security manager on development raised secure coding compliance rate and finished the project within a given periods. Furthermore, it was better to entrust a security manager with the task of following the secure coding guide than the developer, which raised secure coding compliance rate and achieved project objectives faster. Further implications were discussed.

• KDI Journal of Economic Policy
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• v.31 no.2
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• pp.155-194
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• 2009

The Korean economy successfully overcame the macroeconomic downturns driven from the Asian financial crisis in a very short period of time. The economic shock, however, generated a variety of social problems, one of which was the increase in felonies (homicides, robbery, rape, and arson), or degradation of public safety. We argue that the Korean criminal policy has not been effective to ameliorate the rising trends in crime caused by the financial crisis. In order to substantiate this claim, we assess the effectiveness of criminal policy: policing, sentencing, and corrections. First, there has been resource shortage in policing since the 1997 financial crisis. For the past ten years, the investment of human resource and budget in the police has been virtually stagnant, as well as in prosecutors' investigation activities. The insufficient resource allocation in policing caused a huge decline in arrest rates and prosecution rates. Second, the Korean judicial system has not increased the severity of punishment. Comparing the pre- and the post-financial crisis period, the average length of prison sentence by the courts has declined. Given the degrading in the quality of crime and the decreasing amount of inputs into the policing and prosecution, the government should have increased the severity of punishment to deter crime. Third, we found that the government hired more officers and allocated larger budget into prison and probation. However, it is difficult to suggest that the increased level of resources in correctional programs have been effective in preventing released prisoners from committing future crimes. This is because the number of repeat offenders convicted of more than a third offense increased dramatically since 1997, pushing felonies upward. In sum, the government organizations failed to respond respectively or to make coordinated actions, eventually causing a dramatic increase in crimes. This research brings explicit policy implications. In order to prevent possible additional degradation of public safety, the government must put more efforts into increasing the effectiveness of policy and to investing more resources into said policies. We also emphasize the importance of the institutional mechanisms which foster policy coordination among the Police, the Prosecutor's Office, the Ministry of Justice, and other relevant government organizations.

• Korean Journal of Forensic Psychology
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• v.11 no.2
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• pp.173-190
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• 2020

The purpose of this study is to verify whether it is possible for participants to discriminate between innocent and guilty suspects when they are exposed to criminal information utilizing an autobiographical implicit association test (aIAT). A total of 49 college students were randomly assigned to guilty group, innocent-aware group, or innocent-unaware group. Participants performed an aIAT to detect suspects after performing either mock crime or control task. It was verified that innocent suspect and guilty suspect exposed with crime information could be distinguished through D-score and reaction time, converted to symbolize strength of the association between guilty sentences, innocent sentences, and truth sentences. As a result of the analysis, guilty group showed significantly higher D-score than both innocent-aware group and innocent-unaware group. guilty group also showed faster response time in true-guilty condition than true-innocent condition. This shows that the association of true-guilty conditions is stronger than that of true-innocent conditions. On the other hand, the innocent-aware group showed a faster response time in the true-innocent condition than the true-guilty condition, and innocent-unaware group showed no significant difference between the two conditions. Through this, it was confirmed that innocent suspects exposed to criminal information can be discriminated according to the aIAT pattern, which has a faster reaction rate to the truth and innocence union than the guilty group. This study confirmed that suspects exposed to criminal information can be effectively discriminated using aIAT, and further suggests the usefulness and potential of aIAT in the field of lie detection.

• Journal of the Korean Home Economics Association
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• v.37 no.11
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• pp.125-138
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• 1999

Women’s employment rate is decreasing and unemployment rate is increasing since we crime to financial crisis in Korea. So, many women are interested in the running their own business. But people have not recognized the business as a field of women and women have not been accustomed to nil the business. This study aims to introduce the family business as an alternative of women’s employment. This study examines the prospect about family business in Korea through the literature. For this purpose, definition and present state about family business in Korea, motive and background which women start or succeed the family business, advantages and disadvantages which women have when they run the family business, and methods for supporting woman entrepreneur are suggested. finally, some suggestions in educational field for enlarging the women’s roles and relative importance in family business are presented.

• Journal of Korea Multimedia Society
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• v.24 no.5
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• pp.701-708
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• 2021

As one of the most widely used technology in the world right now, Face recognition has already received widespread attention by all the researcher and institutes. It has been used in many fields such as safety protection, surveillance system, crime control and even in our ordinary life such as home security and so on. This technology with today's technology has advantages such as high connectivity and real time transformation. But we still need to improve its recognition rate, reaction time and also reduce impact of different environmental status to the whole system. So in this paper we proposed a face recognition system model with improved CNN which combining the characteristics of flat network and residual network, integrated learning, simplify network structure and enhance portability and also improve the recognition accuracy. We also used AR and ORL database to do the experiment and result shows higher recognition rate, efficiency and robustness for different image conditions.