• Proceedings of the Korea Contents Association Conference
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• 2004.11a
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• pp.333-338
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• 2004

Today CCTV can be come across easily in public institutions, banks and etc. These CCTV plays very important roles for preventing many kinds of crimes and resolving those crime affairs. But in the case of recording a image of a specific person far from the CCTV, the original image needs to be enlarged and recovered in order to identify the person more obviously. The interpolation is usually used for the enlargement and recovery of the image. This interpolation has a certain limitation. As the magnification of enlargement is getting bigger, the quality of the original image can be worse than before. This paper uses FDP(Face Definition Parameter) of MPEG-4 SNHC FBA group and introduces a new algorithm that the face outline of a face image using Vector Descriptor based on the FDP makes possible better image recovery than the known methods until now.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.10
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• pp.1276-1283
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• 2016

The scale of financial damages on voice fishing has not been decreased despite of national and social efforts to reduce the amounts of voice fishing damage. One of these reasons is a sophisticated and vernacular speech style that makes it difficult to recognize the offenders. Furthermore, nowadays, young men have intensively been deceived by not only sophisticated and vernacular speech style which is used the employer of real public offices but also obtained personal information. As a result, this lead directly to the financial damages of younger people who has a stronger judgement than older. For this, we investigated the comparison and analysis between the criminals of voice fishing and the same generation younger people for identifying voice features. The experiment was carried out based on the pitch, bandwidth of pitch, energy, speech speed and voice color for searching the difference of voice characteristics between the criminals of voice fishing and the same generation younger people since 2011. The experimental result shows that there is a significant difference in energy and speech speed between the criminals of voice fishing and the same generation younger people.

• The Journal of the Korea Contents Association
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• v.6 no.6
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• pp.33-41
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• 2006

Nowadays, CCTV can be come across easily in public institutions, banks, and etc. These CCTV play very important roles for preventing many kinds of crimes and resolving those crime affairs. But in the case of recording image of a specific person far from the CCTV, the original image needs to be enlarged and recovered in order to identify the person more obviously. Interpolation is usually used for the enlargement and recovery of the image in this case. However, it has a certain limitation. As the magnification of enlargement is getting bigger, the quality of the original image can be worse. This paper uses FDP(Facial Definition Parameter) proposed by the MPEG-4 SNHC FBA group and introduces a new algorithm that uses face outline information of the original image based on the FDP, which makes it possible to recover better than the known methods until now.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.12
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• pp.1762-1769
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• 2021

The final goal of this study is to develop a system that can analyze whether a wanted vehicle is a criminal vehicle from images collected from black boxes, smartphones, CCTVs, and so on. Data collection was collected using a self-developed black box. The used data in this study has used a total of 83,753 cases such as the eight vehicle types(truck, RV, passenger car, van, SUV, bus, sports car, electric vehicle) and 434 vehicle models. As a result of vehicle recognition using YOLO v5, mAP was found to be 80%. As a result of identifying the vehicle model with ReXNet using the self-developed black box, the accuracy was found to be 99%. The result was verified by surveying field police officers. These results suggest that improving the accuracy of data labeling helps to improve vehicle recognition performance.

• Korean Security Journal
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• no.14
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• pp.485-516
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• 2007

Jeju Special Self-Government Province adopted an autonomous police system for the first time since 60 years in Korean police. The purpose of autonomous police system is to offer a police service to be suitable in regional conditions. But Jeju autonomous police system for nearly one year after adoption is criticized to be established on the ground of political reason but not local decentralization. Actually Jeju autonomous police has not a clear cut jurisdiction and operation scope because of the jurisdiction duplication between national and autonomous police. The original task is confined on environment and sightseeing so on given to administration police for local self-government. So criminal investigation authority on general crimes is not to Jeuju autonomous police on account of special judicial police. First, it is the structural rationalization of Jeju autonomous police system. It speaks that Jeju provincial police bureau and police station have to be as national police institution, on the other hand, patrol district station and police box have to be as autonomous police institution. Of course, functional division has to be followed. National police performs managing all the assembly and demonstration by the management law on assembly and demonstration including the suppression against any large scale demonstration and disturbance, also the investigation on serious crimes just as international crimes and broaden area crimes including all the felony. Together national police performs the duty concerned to all the foreign affairs and national securities in along with the investigation on traffic accidents. On the other hand, autonomous police performs the function for citizen's life safety as crime prevention and the enforcement on the violation against police operation law, together the traffic management and the regulation on traffic violations. and the investigation on minor crime as simple violence or petty larceny including the management on local big events. Second, the budgetary of autonomous police is rationalized by the share of budgeting between Korean government and Jeju special self-government province. Third, urgent arrest authority on general crime and the rights of claims for the summary trial on minor crimes are given to autonomous police. Of course, this problem is resolved naturally in case of giving the investigation rights to autonomous police on minor crimes.

• Proceedings of the Korean Information Science Society Conference
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• 2011.06c
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• pp.210-213
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• 2011

기억 인출 단서는 학습을 통해 장기기억 공간에 저장된 정보를 인출하는 과정에서 중요하며, 서로 다른 종류의 기억 인출 단서에 따른 기억 인출 결과 및 이에 대한 인지 학습적 특성 규명은 교육, 범죄 수사, 그리고 인간의 뇌 기능을 모방한 기계학습 연구 등에서 중요하게 다루어져야 할 문제이다. 본 논문에서는 비디오 데이터를 이용하여 학습한 내용을 인출하는 과정에서 텍스트와 이미지가 각각 인출 단서로서 기억인출 결과에 미치는 영향을 분석하고, 기억 정보 및 시각 정보 처리와 관련된 뇌 영역에서의 뇌전도 분석을 이용하여 이를 해석하였다. 실험 결과를 통해 기억 인출을 위해 이미지-텍스트를 제시할 경우 전전두엽의 기억인출 관련 부위와 시각 피질이 위치한 후두엽의 인터랙션이 높게 이루어지면서 암묵적인 시각적기억 표상의 인출이 발생하는 것을 알 수 있었다.

• Korean Security Journal
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• no.29
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• pp.301-336
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• 2011

This exploratory study aims to review the risks and threats of social network services(SNSs), particularly focusing upon the policing perspective. This paper seeks to acknowledge the present risk/danger of SNSs and the very significance of establishing a strategic framework to effectively prevent and/or control criminal misuse of SNSs. This research thus advocates that proactive study on security issues and criminal aspects of SNSs and preventive countermeasures can play a significant role in policing the networked society in the time of digital/internet age. Social network sites have been increasingly attracting the attention of entrepreneurs, and academic researchers as well. In this exploratory article, the researcher tried to define concepts and features of SNSs and describe a variety of issues and threats posed by SNSs. After summarizing existing security risks, the researcher also investigated both the potential threats to privacy associated with SNSs, such as ID theft and fraud, and the very danger of SNSs in case of being utilized by terrorists and/or criminals, including cyber-criminals. In this study, the researcher primarily used literature reviews and empirical methods. The researcher thus conducted extensive case studies and literature reviews on SNSs. The literature reviews herein cover theoretical discussions on characteristics, usefulness, and/or potential danger/harm of SNSs. Through the literature review, the researcher also concentrated upon being able to identify a strategic framework for law enforcement to effectively prevent criminal misuse of SNSs The limitation of this study can be lack of statistical data and attempts to examine previously un-researched area in the field of SNS and its security risks and potential criminal misuse. Thus, to supplement this exploratory study, more objective theoretical models and/or statistical approaches would be needed to provide law enforcement with sustainable policing framework and contribute to suggesting policy implications.

• Journal of the Society of Disaster Information
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• v.17 no.3
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• pp.535-542
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• 2021

Purpose: The purpose of this study is to prevent recidivism by recognizing the seriousness of recidivism against sexual offenders under the age of 13 and providing customized social adaptation services based on risk. Method: The study evaluate the efficiency of existing models and proposed model systems, and compare and review what features and operational differences exist from existing models. Result: The proposed model will collect data from related agencies on sexual violence offenders with a high risk of recidivism and classify them into three risk groups through risk algorithms to provide social adaptation services for each risk group. In addition, by monitoring primary social support matching data, storing and re-analyzing the results data to rematch social support services, the model differs from the existing model in preventing recidivism of sexual violence offenders from a long-term perspective. Conclusion: The proposed model of this study is meaningful in that it proposed the basic data of a response system to prevent recidivism from a long-term perspective of sexual offenders with the highest risk of recidivism by collecting and analyzing data on sexual offenders.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2019.11a
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• pp.14-16
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• 2019

스마트관제 시스템은 딥러닝 서버내 학습된 백본 네트워크 모델이 실시간으로 스트리밍 되는 CCTV 영상으로부터 이상행동 패턴을 선별적으로 탐지하고 관제요원에게 전달하여, 사전에 사건사고를 예방하거나 즉시 대응 체계의 유연한 운영을 가능케하는 시스템이다. 최근 지능형 CCTV(Closed Circuit Television) 서비스가 일부 지역에 선별 관제의 형태로 시범적으로 운영되고 있는 상황이다. 지능형 시범서비스는 공공 영역에서 선별 CCTV 관제의 형태로 이상행동 상황을 즉각 인지하여 사건사고를 예방하거나 피해를 최소화하고자 하는 목적으로 주로 사용되고 있다. 그러나, 범죄 등의 특정 시나리오에만 한정해서도 이상 행동 유형이 너무나 다양하기 때문에 이상행동 영상의 사전분류(Annotation)를 통해 딥러닝 모델을 학습시키는 것이 현실적으로 어려운 상황이다. 따라서 본고에서는 최신 이상 행동 탐지(Anomaly detection) 알고리즘과 응용사례를 분석하여 실제 현장에 적용할 수 있는 현장 중심의 기법을 제안하고자 한다.

• Review of KIISC
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• v.20 no.4
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• pp.11-20
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• 2010

정보시스템과 인터넷의 발전은 모든 정보 자산의 네트워킹이 가능해짐에 따라, IT 인프라를 중심축으로 한 정보사회 발전의 견인차 역할을 하였다. 최근에는 참여 공유 개방으로 대변되는 웹 2.0 기술과 함께 가히 폭발적인 스마트폰 시장환경이 맞물리면서 "모바일 웹 2.0" 시대로의 빠른 진화를 거듭하고 있다. 하지만 그에 따른 정보사회의 역기능도 만만치 않게 나타나고 있다. 우리는 이미 해킹 및 악성코드로 인한 정보 유출 피해를 비롯하여 서비스 거부 공격으로 인한 비즈니스 연속성 침해에 이르기까지 끊이지 않는 사이버 침해사고를 겪고 있다. 본 논문에서는 진화하고 있는 악성코드에 대한 최근 동향 분석을 통해 미래 정보 사회를 주도할 소설 네트워킹 환경에서의 보안위협이 어떻게 진화해 나가고 있는지 살펴보고자 한다. 또한 사이버범죄 및 사이버전쟁의 사례 분석을 통해 사이버 보안 문제에 대한 보다 적극적인 대응책 마련이 필요하다는 사회적 인지와 인식이 확립되고 보다 강력하고 안전한 대응 체계를 위한 우리의 노력이 끊임없이 연구되길 기대해 본다.