• Review of KIISC
• /
• v.31 no.5
• /
• pp.39-45
• /
• 2021

인터넷이 발달되고 소셜미디어의 사용이 증가함에 따라 공개정보와 소셜네트워크를 통해 국제 범죄조직, 테러리스트 그룹, 주변 국제 안보환경, 사이버 범죄에 대한 정보 분석의 요구가 늘어나고 있다. 하지만 아직 국내에서 OSINT와 SOCMINT 활동에 대한 공개된 정보가 많지 않아 이에 대한 연구가 많지 않다. 저자는 OSINT와 SOCMINT 조사 분석을 실제 수행하면서 알게 된 문제점과 이를 극복하는 방안을 제시하고자 한다. 다만 Intelligence 업무의 특성상 정보 보안이 매우 중요하여 구체적인 내용에 대해서 제시하기 보다는 업무에서 발생되는 문제를 보편화하여 작성하였다.

• The Journal of the Korea Contents Association
• /
• v.12 no.3
• /
• pp.190-205
• /
• 2012

The purpose of the paper is to provide policy suggestions for effectively tackling subway crimes, based on the UK and USA's crime control strategies and systems of subway crimes. The paper attempts to analyze the characteristics of subway crimes in Seoul Subways, and discovers that many of the crimes on the subways are basically 'opportunistic' crimes. In particular, crime statistics of Seoul Subways clearly show that sexual-related crimes are on the sharp increase. In this context, it is of great essence that official vigilance functions should be strengthened in order to eliminate crime opportunities in Seoul Subways. Based on such an analysis - in particular, focusing on official surveillance and response capabilities of subway passengers - the paper finally presents policy recommendations as follows: 1) an increase in the number of police officers of the Subway Police Squad, 2) an increase in the number of CCTV cameras and their effective use, 3) the development of subway riders' defence abilities, 4) strong law enforcement against minor disorder offences based on zero-tolerance policing, and 5) the reinforcement of community partnerships.

• Korean Security Journal
• /
• no.61
• /
• pp.307-332
• /
• 2019

Recently, our society has been changing its population structure due to low birth rate along with the extension of life span due to the development of medical environment and improvement of living environment. It was not long before the population became older, and the problem of the elderly was amplified by generational conflict. The current generation of senior citizens could not afford to prepare for their own retirement income due to their children's education, marriage and housing problems, and is a generation alienated from the benefits of public income security. In addition, not only are they in poverty with rapid industrialization, informatization and economic instability, but they are also threatened with livelihood. The increase in elderly crimes arising from the elderly, who are less adaptable to our society dominated by materialism, is being highlighted as a new social issue. In this study, we are going to analyze the causes of violent and violent senior citizens' crimes in quality along with quantitative growth, and present criminal situations and preventive measures using 10 years of data, judging that this is a time when a national response is needed through a social discussion on crimes committed by senior citizens in our society, where the pace of aging is unprecedentedly fast in the world In order to achieve this research objective, various opinions and statistical data of our society where the standards of senior citizens are changing were reviewed, and analysis of crimes was conducted on literature utilizing data of the Supreme Public Prosecutor's Office, the National Police Agency, and the National Statistical Office, recent press releases, and existing research materials. In this study, we will diagnose crimes committed by senior citizens in various aspects, including the characteristics of the elderly and the view of the elderly in the present society, and explore the direction of development for the prevention of future crimes as well.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.19 no.5
• /
• pp.941-950
• /
• 2024

This study employed network analysis techniques to examine the relationships between spatiotemporal factors associated with crimes in public restrooms, drawing on diverse relevant data sources. We then evaluated the relative importance of these factors in crime occurrence. Variables related to crime incidence were identified, and their interconnectedness was assessed for network analysis, resulting in a data-driven network model with complex relational structures. The network model contributed to calculating the weight of each factor and identifying key elements. The location of public restrooms, usage time, surrounding environment, and facility conditions emerged as crucial factors in crime occurrence, with lighting quality and local security status showing high weightings. These findings can be utilized to prioritize interventions in public restroom design and management to enhance safety. The network analysis methodology demonstrated its potential in proposing crime prevention measures for public spaces, including restrooms, and contributing to the creation of safer public environments.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.37 no.3
• /
• pp.177-188
• /
• 2019

Recently, citizens are feeling anxious as 'Motiveless Crime' increases. The quality of citizens life is degraded and the degree of crime fear is increasing. In this study, based on various variables related to crime other than actual crime occurrence status, crime occurrence points (point line polygon) felt by citizens are created by using mental map methodology. And the purpose of this study is to derive the area of concern for crime through spatial overlap analysis using kernel density estimation analysis. It also uses spatial overlay analysis using kernel density estimation to derive areas of concern for crime occurrence. As a result, the local residents' request point and the areas of concern for crime were overlapped. In addition, the mental map indicating the fear of crime was constructed by mapping mainly the areas between the facilities, the non-construction area such as the narrow area, the security CCTV, the streetlight. This study is meaningful in that it tried to derive a crime occurrence concern area by using mental map method unlike the previous study related to crime. The results of this study, such as mental map, could be used in various fields such as construction of fragile crime map, guideline of crime prevention through environment design.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.24 no.5
• /
• pp.183-188
• /
• 2024

Recently, CCTV cameras have been installed not only in crowded streets but also in less frequently traveled alleyways. This is because CCTV increases the arrest rate. The arrest rate directly affects the crime rate, as potential criminals tend to avoid areas with high arrest rates. Therefore, this paper collects public data on CCTV installation locations, arrest rates, and crime rates in various regions, stores the collected data using the Hadoop big data system, and refines and processes the data using appropriate tools. Subsequently, R programming is employed to analyze and visualize the relationship between the number of CCTV installations and crime rates. By leveraging big data correlation analysis techniques, this study evaluates the effectiveness of CCTV installations.

• Journal of Korean Institute of Fire Investigation
• /
• v.8 no.1
• /
• pp.25-39
• /
• 2006

Recently the arson crime is increased remarkably in comparison with different violent crimes and the pace of increase is very quick. But Social interest about the crime is still slight, it is a fact that the scientific and professional approaches about the crime is insufficient. This problem causes lower arrest rate of the arson crime than the other crime. So, we need to infer the behavior of a arsonist at the crime scene and analyze the profile and psychological state of the suspect from unique point at the crime scene scientifically and professionally. After arresting the arsonist, we interviewed him and compared a product of interview with our analysis previous to arrest.

• Journal of Digital Convergence
• /
• v.19 no.4
• /
• pp.19-24
• /
• 2021

In this paper, an index of women's safety facilities was created and visualized using public data related to Seoul. CPTED, the women's safety facilities index was created by collecting and analyzing eight data related to the local women's safety index and five major crime victims of women. As a result of the correlation analysis between the factors of the female safety facility index and the number of female crime victims, three data were selected as the main factors, "CCTV," "street lamps," and "female security guardians", which were found to be meaningful at the 95% level of reliability. The distinction women's safety facility index was calculated by weighting the correlation coefficient between the main factors for calculating the women's safety facility index, and visualized using Python's Follium library.

• Journal of the Society of Disaster Information
• /
• v.17 no.3
• /
• pp.600-607
• /
• 2021

Purpose: The purpose of this study is to examine the path of money laundering of criminal proceeds through cryptocurrency using criminal script analysis and to devise measures to prevent and prevent criminal justice agencies from doing so. Method: Based on the results of a prior study on the profit path of cryptocurrency through money laundering and criminal cases in Korea, the path of money laundering was analyzed using criminal script techniques. Result: Most of the cryptocurrencies that have been launched are converted into criminal proceeds, which are re-launched and cashed or have a vicious cycle of being used as criminal funds are used. According to the script, the route of money laundering is mainly converted to criminal proceeds from cryptocurrency exchanges using anonymity, which is repeated several times, making it very difficult to find the money using cryptocurrency in criminal justice institutions. Conclusion: As the method of money laundering using cryptocurrency is becoming more sophisticated, legal sanctions and preventive institutionalization should be prepared for the prohibition or confiscation of cryptocurrency transactions for money laundering after understanding the flow.

• Journal of the Korean Society for information Management
• /
• v.36 no.4
• /
• pp.253-277
• /
• 2019

In the era of the 4th Industrial Revolution, the importance of data is intensifying, but there are many cases where it is not easy to use data due to personal information protection. Although criminal justice information is expected to have various useful values such as crime prediction and prevention, scientific investigation of criminal investigations, and rationalization of sentencing, the use of criminal justice information is currently limited as a matter of legal interpretation related to privacy protection and criminal justice information. This study proposed to convert criminal justice information into 'crime data' and use it as big data through the structuralization and categorization of criminal justice information. And when using "crime data," legal issues, value in use, considerations for data generation and use were verified by experts, and future strategic development plans were identified. Finally we found that 'crime data' seems to have solved the privacy problem, but it is necessary to specify in the criminal justice information related law and it is urgent to be organized in a standardized form for analysis to use big data. Future directions are to derive data elements, construct a dictionary thesaurus, define and classify personal sensitive information for data grading, and develop algorithms for shaping unstructured data.