• Korean Journal of Child Studies
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• v.26 no.5
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• pp.367-377
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• 2005

Semi-structured in-depth interview method were used to test psycho-social comparison among first time offenders and repeated offenders. Data were analyzed by t-test and chi-square. Differences between first time offenders and repeated offenders were that there were more male offenders than female offenders, and violent and theft offenders were more than sex offenders fraud and traffic offenders; early starters were more repeated offenders than late starters; there were some variables such as runway of home, parents' caring attitude, school drop out and maladjustment affecting in repeated offenses; developmental environment of repeated offenders were more negative than first time offenders. Therefore, intervention and prevention program development of good parenting and schooling and forensic counseling focused on optimal developmental environment is needed.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.394-396
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• 2022

After COVID-19, hybrid stores operated as unmanned stores at specific times have spread, and theft crimes against these stores have also increased. In this paper, we propose an intelligent crime prevention system that fully utilizes existing shop devices to identify and respond to crimes occurring during the late night hours of unmanned shops in real time.

• Smart Media Journal
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• v.4 no.1
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• pp.39-43
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• 2015

A vehicle black box helps to investigate the cause of accident by recording time, and videos as wells as shock information of the time of accident Lately, intelligent black box with accident prevention as well as existing functions is being studied. This paper proposes an applicable algorithm for vehicle black boxes that prevent any accident likely to occur while a car is parked, like robbery, theft or hit-and-run. Proposed algorithm provides object recognition, face detection and alarm as the object approaches car. Tests on the algorithm prove that it can recognize an approaching object, identify and set alarm if needed, depending on each risk level.

• Journal of the Korea Society of Computer and Information
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• v.24 no.1
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• pp.107-113
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• 2019

Along with the development of IOT, the number of people using IOT devices has enormously increased and the IOT era has come. Especially, people using the IP cameras among Internet devices have been drastically increasing. It is because the IP cameras are well networked and comparatively cheap compared with CCTVs, and they can also be monitored and controlled in real time through PCs and smart phones for the purposes of general theft prevention and shop surveillance. However, due to the user's serious lack of security awareness and the fact that anyone can easily hack only with simple hacking tools and hacking sites information, security crimes that exploit those have been increasing as well. Therefore, this paper describes how easily the IP cameras can be hacked in the era of IOT, what kind of security incidents occurred, and also suggests possible government measures and new technical solutions to those problems.

• The Journal of the Korea Contents Association
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• v.10 no.4
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• pp.340-347
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• 2010

Though there are many crimes on and out university campus in Korea, no one knows anything about the size or the types of campus crime. But, there are many theft crimes and sex assault in the library and one-room village near the university campus. This study suggested the establish ways and means needed to improve the campus security system, with the focus on the CPTED(Crime Prevention Through Environmental Design). Various types of crime prevention methods are being considered instead of conventional crime suppression measures. Among them, CPTED is drawing global attention. Crime prevention through environmental design is a multi-disciplinary approach to deterring criminal behavior through environmental design. CPTED strategies rely upon the ability to influence offender decisions that precede criminal acts. A truly safe campus can be achieved only through the cooperation of all students, faculty, staff and visitors. The cooperation and involvement of the entire campus community in campus crime prevention is absolutely necessary. University should adopt a series of policies and procedures designed to ensure that every possible precaution is taken to protect persons and property on campus.

• The KIPS Transactions:PartD
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• v.19D no.3
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• pp.247-256
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• 2012

It's not easy for medium or large sized libraries to effectively manage their vast array of books and media data. Recently, in place of magnetic stripes and barcodes, RFID technology has been applied on a small scale to simple book management and theft-prevention initiatives. The development of RFID and USN applied systems and technology has led to RFID and USN being used in a diverse range of industrial fields, including book management systems in libraries. Using the aforementioned technology, the intelligent book management system suggested in this thesis can provide a more practical, effective, content-rich and convenient book management system.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.5
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• pp.1097-1114
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• 2015

As the online game market grows, illegal activities such as cheating play using game bots or game hack programs, running private servers, hacking game companies' system and network, and account theft are also increasing. There are various security measures for online games to prevent illegal activities. However, the current security measures are not enough to prevent all highly evolving game attacks and frauds. Some security measure can do harm game players usability, game companies need to develop usable security measure that is well fit to game genre and contents design. In this study, we surveyed the recent trend of various security measure applied in online games. This research also classified illegal activities and their related countermeasure for detection and prevention.

• Journal of Information Technology Services
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• v.16 no.2
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• pp.129-138
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• 2017

This paper is concerned with an Internet of Things (IoT)-based unmanned home-delivery box system, in which the system is developed with a prototype using a weight sensor, shock sensor, the Arduino and Raspberry-Pi of open-source hardware platforms. The developed system provides several functions such as a safe storage means, prevention of delivery-theft, and remote control of the home-delivery box, etc. Specifically, the system recognizes the arrival of goods by detecting the weight of deliveries and sends the arrived message of deliveries to the recipient' smartphone, and also controls (i.e., open and close) the locker of the unmanned home-delivery box system remotely with the smartphone. Furthermore, the developed system provides automatically a warning alarm around the unmanned home-delivery box when an external shock is applied to the home-delivery box, and sends a message on the shock to the recipient' smartphone. The major functions of the developed home-delivery box system have been verified in a realistic environment, and confirmed to work well. With the application of the developed home-delivery box system to the homes and offices where recipients are always not to stay, it is expected to significantly improve the safety of delivered goods as well as to effectively prevent the delivery operatives posing as a crime.

• Journal of Digital Convergence
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• v.13 no.5
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• pp.205-211
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• 2015

Recently, a mobile communication network and the wireless terminal is suddenly develop, mobile office service is more and more the sportlight. However, the user may receive an attack from a malicious third party if the up/download the data in the remote to perform the work in a mobile office environment. In this paper, we propose scheme to manage the information lost due to theft smartphone that contain spill prevention personal information and company information from the mobile office environment (call history, incoming messages, phonebook, calendar, location information, banking information, documents, etc.). The proposed scheme using the number of triangular fuzzy information about the state of the personal information and business intelligence to implement a pair-wise comparison matrix. In particular, the proposed scheme is to prevent the value obtained by constructing a pair-wise comparison matrix for personal information and business intelligence and pair your smartphone is lost when a third party not allow access to personal information and corporate information is leaked to the outside.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.180-182
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• 2022

As various crimes such as theft, assault, and sex crimes are increasing, each local government is installing CCTVs to prevent them, and operating and managing control centers for emergency response. When the control center detects a dangerous situation in the field, it responds immediately in connection with the police or 911. However, since it is managed by humans, the response speed is anomalous and the reality is that it is mainly used for post-processing. Therefore, through the artificial intelligence LED signage, it notifies the emergency situation at the site, and it serves as a warning function before getting help from passers-by or an accident occurs. In this paper, we design and research a warning system such as changing the lighting color of the LED signboard or making a sound by reflecting the artificial intelligence algorithm. We intend to contribute to public safety and social safety through this study.