• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.25-27
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• 2021

With the recent development of deep learning technology, computer vision-based AI technologies have been studied to analyze the abnormal behavior of objects in image information acquired through CCTV cameras. There are many cases where surveillance cameras are installed in dangerous areas or security areas for crime prevention and surveillance. For this reason, companies are conducting studies to determine major situations such as intrusion, roaming, falls, and assault in the surveillance camera environment. In this paper, we propose a real-time abnormal behavior analysis algorithm using object detection and tracking method.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.1071-1074
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• 2021

본 논문은 펌웨어와 인공지능을 이용하여 지형의 사각지대를 이동하며 순찰 및 방범의 목적을 지닌 시스템을 소개하기 위함에 있다. 기존의 보안 시스템은 비상 상황 발생 시 인력이 직접 출동하여 상황을 해결함으로써 날로 증가하는 최저임금을 고려했을 때 이들의 인건비를 감당하기 어렵다는 단점이 있다. [1] 이러한 문제점을 해결하기 위해 앱 개발을 통해 RC카를 제어하는 아두이노와 연결하여 자율주행을 하게끔 하는 시스템을 개발했다. 또한, 라즈베리파이 웹캠을 부착해 실시간으로 현장을 촬영하여 사용자가 웹에만 접속하면 현장을 모두 감시할 수 있도록 시스템을 개발하였고, 단시간 푸리에 변환(STFT)을 통해 얻은 음성 데이터 변환맵을 인공지능 프로세서인 인텔리노에 학습 데이터로 학습시킨 후에 주변 환경에서 비명 소리만 감지할 수 있도록 시스템을 구현하였다. 본 논문에서는 이러한 시스템들이 기존의 인건비 증가에 대한 문제점을 해소할 수 있다고 생각하여 더욱 효율적으로 방범이 가능한 시스템을 소개한다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.10
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• pp.1369-1374
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• 2021

Recently, controversy has been raised over the security and safety of Chinese-made network equipment (Huawei 5G), apps (TikTok, etc.). In particular, according to the results of the Ministry of Defense investigation in 2020, malicious codes were found in CCTVs made in China that were delivered as military surveillance equipment used as a coast guard system, and specific information was remotely transmitted to a Chinese server. The safety issues of these Chinese security products can be questioned as being systematically led by the state rather than by companies or individuals. In this paper, we perform network and process level analysis of 360 Total Security(360 TS), a Chinese antivirus software. In addition, it compares and analyzes the domestic cloud-based vaccine V3 Lite product. Through this, the safety of Chinese security solutions is checked and information leakage and risks are suggested.

• Korean Security Journal
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• no.42
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• pp.7-36
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• 2015

This study aims at analyzing difference of social Security network, Community unity and local government trust according to socio-demographical features, exploring the relation of social Security network, Community unity and local government trust according to socio-demographical features, presenting results between each variable as a model and verifying the property of mutual ones. This study sampled general citizens in Gwangju for about 15 days Aug. 15 through Aug. 30, 2014, distributed total 450 copies using cluster random sampling, gathered 438 persons, 412 persons of whom were used for analysis. This study verified the validity and credibility of the questionnaire through an experts' meeting, preliminary test, factor analysis and credibility analysis. The credibility of questionnaire was ${\alpha}=.809{\sim}{\alpha}=.890$. The inout data were analyzed by study purpose using SPSSWIN 18.0, as statistical techniques, factor analysis, credibility analysis, correlation analysis, independent sample t verification, ANOVA, multi-regression analysis, path analysis etc. were used. the findings obtained through the above study methods are as follows. First, building a social Security network has an effect on Community institution. That is, the more activated a, the higher awareness on institution. the more activated street CCTV facilities, anti-crime design, local government Security education, the higher the stability. Second, building a social Security network has an effect on trust of local government. That is, the activated local autonomous anti-crime activity, anti-crime design. local government's Security education, police public oder service, the more increased trust of policy, service management, busines performance. Third, Community unity has an effect on trust of local government. That is, the better Community institution is achieved, the higher trust of policy. Also the stabler Community institution, the higher trust of business performance. Fourth, building a social Security network has a direct or indirect effect on Community unity and local government trust. That is, social Security network has a direct effect on trust of local government, but it has a higher effect through Community unity of parameter. Such results showed that Community unity in Gwangju Region is an important factor, which means it is an important variable mediating building a social Security network and trust of local government. To win trust of local residents, we need to prepare for various cultural events and active communication space and build a social Security network for uniting them.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2008.02a
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• pp.187-190
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• 2008

디지털 영상기기의 발달과 함께 디지털 영상은 우리의 생활의 일부가 되었다. 이러한 디지털 영상이 생활의 일부가 되면서 범죄자들은 범죄현장의 흔적을 디지털 영상으로 저장하기도 하며, 디지털 영상으로 저장된 CCTV를 통하여 범죄의 현장을 재현하기도 한다[5][6]. 이러한 디지털 영상은 사건을 해결하는데 중요한 역할을 하기에 사건을 수사하는데 있어 수집하여야 할 중요한 대상중의 하나이다. 이러한 디지털 영상은 하나의 분석대상에 다수의 파일로 존재할 수 있으며, 이러한 다수의 디지털 영상 속에서 사건 해결에 도움을 줄 수 있는 중요한 영상을 구분하기 위해서는 많은 시간과 인력이 필요하다. 따라서 다수의 영상 증거물을 디지털 영상 포렌식의 한 분야인 디지털 영상 분류기법을 통하여 수사의 편리함과 정확성을 향상시켜야 할 필요가 있다. 하지만 디지털 영상의 수사를 돕기 위한 디지털 영상의 분류기법은 디지털 영상 포렌식의 영역 중에서 연구가 이루어져 있지 않은 영역중의 하나이며, 연구가 진행되고 있는 방식도 국내가 아닌 국외의 법과 수사 환경을 중심으로 연구되어지고 있다. 따라서 국내의 법과 수사 환경에 적용할 수 있는 디지털 영상 분류기법에 대하여 연구할 필요성이 있다. 이에 대해 본 논문에서는 디지털 영상 포렌식 중 하나의 분야인 디지털 영상 분류기법의 연구현황을 확인하며, 디지털 영상 분류기법의 필요성에 대하여 설명하도록 하겠다.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.791-794
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• 2021

범죄차량 판독 시스템, 지능화된 CCTV 등 차량과 관련된 시각지능에 관한 연구가 큰 관심을 받고 있다. 이 중 차량 분류 기술은, 특정 차량을 인식하는 핵심기술이다. 이와 관련한 기존 연구들은 큰 차종으로만 분류하거나, 분류 가능한 차종의 수, 정확도 등이 낮아 실용성 및 신뢰성이 떨어진다는 단점이 있다. 따라서, 본 논문에서는 차종을 정확하게 분류할 수 있는 2단계 차종 분류 알고리즘을 제안한다. 제안 시스템은 CNN으로 학습된 모델을 기반으로 1차로 차량의 유형을 분류하고, 2차로 정확한 차종을 분류한다. 실험 결과, 52개의 차종을 분류함에 있어 단일 분류 모델에 비해 5.3%p 더 높은 90.2%의 분류 정확도를 보였다. 이를 통해, 더욱 정확한 차종 분류가 가능하다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.4
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• pp.705-717
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• 2020

Cities in the world are rushing to develop smart cities to create a sustainable and happy city by solving many problems in cities using information and communication technologies such as big data and IoT. However, in Korea's smart cities and smart city certification systems, the focus is on platform-oriented hardware infrastructure, and the information security aspect is first considered to build and authenticate. It is a situation in which a response system for the risk of leakage of big data containing personal information is needed through policy research on the aspect of personal information protection for smart city operation. This paper analyzes the types of personal information in smart cities, problems associated with the construction and operation of smart cities, and the limitations of the current smart city law and personal information protection management system. As a solution, I would like to present a model of a personal information protection management system in the smart city field and propose a plan to strengthen personal information protection through this. Since the management system model of this paper is applied and operated in the national smart city pilot cities, demonstration cities, and CCTV integrated control centers, it is expected that citizens' personal information can be safely managed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.9
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• pp.504-509
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• 2019

Recently, both wireless communications technology and the performance of small devices have developed exponentially, while the number of services using various types of Internet of Things (IoT) devices has also massively increased in line with the ongoing technological and environmental changes. Furthermore, ever more devices that were previously used in the offline environment-including small-size sensors and CCTV-are being connected to the Internet due to the huge increase in IoT services. However, many IoT devices are not equipped with security functions, and use vulnerable open source software as it is. In addition, conventional network equipment, such as switches and gateways, operates with vulnerabilities, because users tend not to update the equipment on a regular basis. Recently, the simple vulnerability of IoT devices has been exploited through the distributed denial of service (DDoS) from attackers creating a large number of botnets. This paper proposes a system that is capable of identifying Internet-connected devices quickly, analyzing and managing the vulnerability of such devices using Internet-wide scan technology. In addition, the vulnerability analysis rate of the proposed technology was verified through collected banner information. In the future, the company plans to automate and upgrade the proposed system so that it can be used as a technology to prevent cyber attacks.

• Korean Security Journal
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• no.10
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• pp.243-272
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• 2005

All measures related to the safety of the casino facilities guarantee safety of facilities that are targets of security guards, protect lives and properties, minimize risks of artificial and natural disaster and crimes. In summary, plan for responding to safety and accidents should be developed not only for the casino facilities but also for the facilities of annexed buildings, and lives and properties of customers and employees. Determine areas in the casino facilities that are prone to accidents and set around-the-clock guard in the areas or maintain surveillance with CCTV and prevent accidents through continuous patrol. These are the most basic and the most important requirements in safety. In addition, casinos which prompt gambling are causing economic and psychological treats to families. To resolve these social issues, casinos have adopted limited entrance system. To support this system, new forms of machine security systems such as video automatic recognition system of fingerprint pattern recognition system should be adopted too. In addition, security guards in casino facilities need to instill themselves with a sense of ownership as well as a strong sense of mission to do the best for customer security and to protect the company assets and employees and manage accidents that could occur without notice. Security guards should do their best to enable manage accidents that could occur without notice. Security guards should do their best to enable tourists who are on the rise due to increase in advanced country-style tourism and leisurely activities to get the utmost satisfaction from the casinos, and as a leader of private security company, establish the foundation for security based on the characteristics of security in Korea.

• Journal of the Korea Convergence Society
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• v.11 no.3
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• pp.77-83
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• 2020

Recently, intelligent predictive surveillance system has emerged. It is a system that can probabilistically predict the future situation and event based on the existing data beyond the scope of the current object or object motion and situation recognition. Since such intelligent predictive monitoring system has a high possibility of handling personal information, security consideration is essential for protecting personal information. The existing video surveillance framework has limitations in terms of privacy. In this paper, we proposed a security framework for intelligent predictive surveillance system. In the proposed method, detailed components for each unit are specified by dividing them into terminals, transmission, monitoring, and monitoring layers. In particular, it supports active personal information protection in the video surveillance process by supporting detailed access control and de-identification.