• Proceedings of the Korean Society of Computer Information Conference
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• 2014.07a
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• pp.465-466
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• 2014

개발된 장치와 앱을 사용하면 시중에 나와 있는 범죄 예방 어플리케이션과는 다르게 스마트폰에서 물리적인 버튼을 사용하지 않고 사용자의 음성으로 이벤트를 발생시켜 자신의 위치정보를 미리 지정한 전화번호로 SMS를 보내고 자신의 스마트폰에서 사이렌을 자동으로 동작시킴으로서 위험한 상황에서도 편리하게 사용 할 수 있어 범죄 예방에 도움이 될 것이다.

• Electronics and Telecommunications Trends
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• v.36 no.5
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• pp.74-81
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• 2021

Based on data provided by the science and technology knowledge infrastructure (ScienceON, 2017-2021), this paper reviews the research trends of domestic police services and related technologies, and describes the research and development direction of policing technology. For this purpose, the research was searched using the keywords science policing, smart policing, predictive policing, and policing. Policing technology is used for crime investigation (prevention), such as crime analysis and crime prediction. The collection of related data use urban infrastructure, the processing of data collected using technologies, such as artificial intelligence, and the utilization of data in police services (system) were summarized. In future, on-site support technology and crime investigation (prevention) technology for a preemptive correspondence to social threats and effective police activities must be developed. In addition, the quality of police services should be improved, a system to use police-related data should be developed, and the capabilities of police experts need to be strengthened.

• The Journal of Korean Association of Computer Education
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• v.8 no.5
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• pp.31-41
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• 2005

The purpose of this study is to identify the determinants of planned behavior of adolescent, toward information security and cyber crime prevention. A survey methodology was used to investigate a proposed model of influence, and regression analysis was used to analyze the results. The hypothesized model was largely supported by this analysis, and the overall results indicate that the intention to actively participate in information security and cyber crime prevention is mostly influenced by the fear for cyber crime and the perceived usefulness of information security and cyber crime prevention activity. In addition, it was found that the perceived easy of use for information-security related ICT skill, fear for cyber crime, and social norm for information security influence the level of usefulness, but that the prior experience with information leaking was statistically insignificant factor to the level of usefulness and fear for crime. Useful suggestions for promoting information security and cyber crime prevention are also provided.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.10
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• pp.1294-1299
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• 2018

'SMART Police' means collecting, analyzing and utilizing the police database such as crime statistics, reflecting 'strategic management', 'analysis and research', 'science technology' do. In recent years, the number of sex offenses has more than doubled based on the 'crime analysis' of the Supreme Prosecutors' In this trend, we started to build a sex crime prevention program for women 's relief special 3.0 which is suitable for regional characteristics. However, it was not enough for the women to have low publicity and utilization results, and to show the practical effect. In the future, we propose a crime prevention system which can safely take home safeguarding with autonomous driving car or drone by applying ICT to the future police system. Although it is difficult to operate autonomous vehicles and drones in the surrounding environment such as narrow alleys and power lines for application to this system, it is thought that the artificial intelligence technology can be sufficiently overcome to operate.

• The Journal of the Korea Contents Association
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• v.19 no.8
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• pp.667-676
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• 2019

In recent years, the occurrence of life and violent crime in the city centered on crime-prone areas has become a big issue, raising the public interest in safety from crime has been higher than ever. As the initial response to crime and the importance of crime prevention are emerging, the government is preparing various measures such as crime prevention service using advanced technology. This project is a demonstration project to select specific target sites and apply that on a trial basis with the main purpose of commercialization of intelligent crime prevention technologies and services. In order to spread the business through the demonstration project, it is expected that the practical economic evaluation as well as the academic and practical value of the project will have a great significance. In this study, the purpose of this research is to derive economic feasibility through technologies and services to be implemented in Indokwon district of Anyang city, which is selected demonstration site of the intelligent security, to promote the spread of business and contribute to the policy activation.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.12
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• pp.546-554
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• 2019

Typically, closed-circuit television (CCTV) monitoring is mainly used for post-processes (i.e. to provide evidence after an incident has occurred), but by using a streaming video feed, machine-based learning, and advanced image recognition techniques, current technology can be extended to respond to crimes or reports of missing persons in real time. The multi-CCTV cooperation technique developed in this study is a program model that delivers similarity information about a suspect (or moving object) extracted via CCTV at one location and sent to a monitoring agent to track the selected suspect or object when he, she, or it moves out of range to another CCTV camera. To improve the operating efficiency of local government CCTV control centers, we describe here the partial automation of a CCTV control system that currently relies upon monitoring by human agents. We envisage an integrated crime prevention service, which incorporates the cooperative CCTV network suggested in this study and that can easily be experienced by citizens in ways such as determining a precise individual location in real time and providing a crime prevention service linked to smartphones and/or crime prevention/safety information.

• Korean Security Journal
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• no.10
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• pp.323-354
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• 2005

As with the vast array of computer technology and its rapid development, along with the entry of the internet as one of the necessities of life, the so-called cyber space has become a vital component of our modern day living. While such cyber space has provided the society with much convenience and utility as to the gathering and acquiring of information, crimes involving cyber space has accordingly increased in both number and form, Nevertheless, the conventional law as existed before the development of the cyber space were unable to meet the demands of this new breed of crime, which inevitably led to the gap in the government ability to punish such criminals, Thus, in response to the rising number of cyber crimes, a large number of nations have either created or is in the process of committing human and financial resources to strengthen the investigative powers relating to cyber crimes and creating a new area of prohibiting such crimes. As a overview of cyber crime, (1)defines the terms, describes features of cyber crime, (2)explains the international prevention necessity of cyber crime, and (3)the necessity of legislating the cyber crime Fundamental Act (4)the recognition of the evidential values on the confiscated electronic records and reviews types of cyber crime including cyberterror. Lastly, emphasizes necessity on international cooperation for prevention of cyber crime as usual.

• The Journal of the Korea institute of electronic communication sciences
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• v.11 no.2
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• pp.237-244
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• 2016

There are two destinations to aware the risk of common life. Recognition of the condition of pedestrian's own and the environmental factor awareness both are beneficial for risk awareness. It is good way of advancing the crime prevention effectivity that including IoT technology at the crime prevention research. The purpose of this research is that advanced way of crime prevention with multi-sensor data fusion of the condition of pedestrian and environmental factors. The 3-axis acceleration sensor is available to recognize the gait and the illumination sensor also useful to infer the road state. This research suggest a novel way of assess these factors and the result is the degree of danger.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.2
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• pp.353-360
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• 2017

Since the environmental redesign project for crime prevention was first implemented in Bucheon City in 2005, the same projects have been actively planned or progressed not only in the metropolitan area but also in local governments across the country. While the same overseas business has achieved remarkable results, domestic business has not achieved quantitative results. In this study, we analyzed the environmental redesign project for crime prevention in Seogjeong-Dong. In the field of electronic communication exclusion, in the course of business, it was possible to analyze the problems that the costs were increased and the business performance was difficult to be derived due to the inconvenience of the residents due to the inexperience of the business owners and the inefficiency of the facilities.

• International Journal of Advanced Culture Technology
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• v.10 no.4
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• pp.499-510
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• 2022

This study examines the reporting factors of crime against business in Korea and proposes a corresponding predictive model using machine learning. While many previous studies focused on the individual factors of theft victims, there is a lack of evidence on the reporting factors of crime against a business that serves the public good as opposed to those that protect private property. Therefore, we proposed a crime prevention model for the willingness factor of theft reporting in businesses. This study used data collected through the 2015 Commercial Crime Damage Survey conducted by the Korea Institute for Criminal Policy. It analyzed data from 834 businesses that had experienced theft during a 2016 crime investigation. The data showed a problem with unbalanced classes. To solve this problem, we jointly applied the Synthetic Minority Over Sampling Technique and the Tomek link techniques to the training data. Two prediction models were implemented. One was a statistical model using logistic regression and elastic net. The other involved a support vector machine model, tree-based machine learning models (e.g., random forest, extreme gradient boosting), and a stacking model. As a result, the features of theft price, invasion, and remedy, which are known to have significant effects on reporting theft offences, can be predicted as determinants of such offences in companies. Finally, we verified and compared the proposed predictive models using several popular metrics. Based on our evaluation of the importance of the features used in each model, we suggest a more accurate criterion for predicting var.