• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.1068-1070
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• 2022

우리나라의 무역 활동을 처리하는 항만은 국가 주요시설로 보안에 만전을 기하고 있다. 그러나 항만의 면적이 넓고 복잡하기 때문에 사각지대가 존재하고 사각지대에서의 불법행위 단속 건수는 매년 증가하고 있다. 이에 항만의 보안 강화를 위한 대책이 필요하다. 본 논문은 항만의 상황을 이동형 CCTV에 부착된 IoT 센서들로 인식하여 YOLOv5 딥러닝 모델로 분석한 후 웹 대시보드에 시각화하는 항만 보안 시스템을 제안한다. 이동형 CCTV는 특정 위치로 직접 이동할 수 있어 거리에 따라 해상도가 낮아지는 기존 CCTV의 단점을 보완할 수 있다. 또한 해당 시스템은 주변에서 쉽게 구할 수 있는 장비들과 오픈소스 라이브러리를 활용하기 때문에 다른 보안장비들에 비해 효율적인 비용으로 높은 보안 효과를 얻을 수 있다는 강점을 지닌다. 본 시스템은 항만시설뿐 아니라 군사시설, 물류시설 등 보안을 중요시하는 다른 분야에 확대 적용될 수 있다는 점에서 의의가 있다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.01a
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• pp.165-166
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• 2018

IP카메라는 CCTV와 달리 값도 저렴하고 네트워크와 연결돼 PC와 스마트 폰을 통해서 실시간 조회 및 제어가 가능한 카메라이다. 이러한 장점에 힘입어 일반 가정이나 매장 등에서 도난 방지 및 감시를 위해 IP 카메라를 사용하는 사람들이 급격히 증가하고 있으며, 이에 따라 해킹을 통한 사생활 침해 문제도 같이 증가하고 있다. 이는 사용자들의 보안 인식이 턱없이 부족해 전문가가 아니더라도 손쉽게 프로그램과 사이트를 이용하여 해킹이 가능하기 때문인 것으로 사료된다. 따라서 본 논문에서는 해킹이 얼마나 쉽게 이뤄지는지, 어떠한 피해가 있는지, 그리고 이에 대한 해결방안을 제안한다.

• Korean Security Journal
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• no.56
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• pp.9-30
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• 2018

Crime prevention strategies are introduced to reduce the loss caused by crimes, and Target hardening against domestic burglary attacks is broadly accepted as one of such physical security strategies. In terms of business and home security, target hardening is one of the suite of protective measures that are included in crime prevention through environmental design(CPTED). This can include ensuring all doors and windows are sourced and fitted in such a way that they can resist forcible and surreptitious from the attack of intruder. Target hardening with certified security doors, security windows and secure locks are revealed to be much more effective to deter burglary attacks than other security devices, such as CCTV, lightings and alarms which have largely psychological and indirect impact. A pilot program of target hardening utilizing certified security window and locks was carried out in Ansan city, South Korea in 2016. This study is based on the quasi-experimental design of this program for a residential area. The researchers tried to verify the crime displacement effect of the target hardening program and the diffusion effects of crime prevention benefits by analysing the crime statistics. The evaluation utilized WDQ(Weighted Displacement Quotient) technique to analyze whether the crime displacement occurred, compared the crime statistics of the experimental area with that of buffer zone and controlled areas. The result showed that the target hardening program was significantly effective in crime prevention. The number of burglary in the experimental site with target hardening intervention reduced by 100%, although the areas without the intervention showed reduction in the burglary. The crime displacement was not found at all, and the number of burlary at the buffer zone also reduced significantly.

• Convergence Security Journal
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• v.22 no.4
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• pp.161-168
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• 2022

After the corona virus, as non-face-to-face services are activated, domain services that guarantee integrity by embedding sensing information of the Internet of Things (IoT) with block chain technology are expanding. For example, in areas such as safety and security using CCTV, a process is required to safely update firmware in real time and to confirm that there is no malicious intrusion. In the existing safe security processing procedures, in many cases, the person in charge performing official duties carried a USB device and directly updated the firmware. However, when private blockchain technology such as Hyperledger is used, the convenience and work efficiency of the Internet of Things environment can be expected to increase. This article describes scenarios in how to prevent vulnerabilities in the operating environment of various customers such as firmware updates and device changes in a non-face-to-face environment. In particular, we introduced the optimal blockchain technique for the Internet of Things (IoT), which is easily exposed to malicious security risks such as hacking and information leakage. In this article, we tried to present the necessity and implications of security management that guarantees integrity through operation applying block chain technology in the increasingly expanding Internet of Things environment. If this is used, it is expected to gain insight into how to apply the blockchain technique to guidelines for strengthening the security of the IoT environment in the future.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.66 no.4
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• pp.252-257
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• 2017

In this paper for developing and implementing the HD level triple streaming hybrid security camera which output the three type of video outputs(HD-SDI, EX-SDI, Analog). We design the hardware and program the firmware supporting the main and sub functions. We use MN34229PL as image sensor, EN778, EN331 as image processor, KA909A as reset, iris, day&night function part, A3901SEJTR-T as zoom/focus control part. We request the performance test of developed security camera at the broadcasting and communication fusion testing department of TTA (Telecommunication Technology Association). We can get the three outputs (HD-SDI, EX-SDI, Analog) from the developed security camera, get the world best level at the jitter and eye pattern amplitude value and exceed the world best level at the signal/noise ratio, and minium illumination, power consumption part. The HD level triple streaming hybrid security camera in this paper will be widely used at the security camera because of the better performance and function.

• Journal of the Korea Convergence Society
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• v.7 no.5
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• pp.29-34
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• 2016

Recently, with the development of high-tech industry, the use of the drones in various aspects of daily life is rapidly advancing. With technical and functional advancements, drones have an advantage of being easy to be utilized in the areas of use according to various lifestyles. In addition, through the diversification of the drone service converged with image processing medium such as camera and CCTV, an automated security system that can replace humans is expected to be introduced. By designing these unmanned security technology, a new convergence security drone service techniques that can strengthen the previous drone application technology will be proposed. In the proposed techniques, a biometric authentication technology will be designed as additional authentication methods that can determine the safety incorporated with security by selecting the search and areas of an object focusing on the objects in the initial windows and search windows through OpenCV technology and CAM-Shift algorithm which are an object tracking algorithm. Through such, a highly efficient security drone convergence service model will be proposed for performing unmanned security by using the drones that can continuously increase the analysis of technology on the mobility and real-time image processing.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2016.06a
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• pp.381-383
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• 2016

본 논문에서는 영상보안시스템을 구성하는 장비 간의 상호연동 적합성을 평가하는 방법과 분석 결과를 제시한다. 꾸준한 성장세를 보이고 있는 영상보안시스템 분야는 기존의 아날로그 CCTV(Closed Circuit TeleVision) 체계 대신 네트워크 인터페이스 기반의 시스템으로 변화하고 있다. 이에 따라 IP(Internet Protocol) 기반의 네트워크 환경에서 장비 간 연동을 위해 국제적으로 ONVIF(Open Network Video Interface Forum), PSIA(Physical Security Interoperability Alliance)와 같이 여러 CCTV 제조사들이 모인 산업계 포럼에서 장비 간 상호호환성을 위해 인터페이스 프로토콜을 정의하고 자체 표준화를 주도하고 있다. 이에 본 논문은 TTA에서 국내 영상보안시스템의 상호운용성을 위해 개발한 ONVIF 기반의 상호연동 인증 기준을 기반으로 영상보안시스템 장비 중 하나인 IP 카메라와 NVR(Network Video Recorder)에 대해 상호연동 적합성을 평가하는 방법을 설명하고 분석 결과를 제시한다.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2009.10a
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• pp.129-132
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• 2009

공항내 설치된 보안등의 운용실태를 조사하고 인적경비에 맞춘 보안등 설계에서 첨단의 CCTV 카메라 및 주변기기를 이용한 과학화된 경비체제에 맞는 안정된 보안등 설계가 요구되어진다. 본 논문에서는 과학화된 보안시스템에 맞는 조명 설계을 위하여 단방향 투사용 LED 램프를 이용한 등기구와 2.5m 높이의 폴로 현장에 이동 배치하여 적용하였으며, 기존 시설된 고압나트륨과 시범 설치원 LED 광원의 조도 및 눈부심을 비교하여 최상의 CCTV 감시 화면의 특성파악 및 정확한 물체를 식별 할 수 있는 조도을 유지하여 안정된 보안등의 조명설비를 제시하고자 한다.

• Journal of Korea Multimedia Society
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• v.17 no.1
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• pp.15-25
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• 2014

In this paper, we propose a loitering detection using trajectory probability distribution and local direction descriptor for intelligent surveillance system. We use a background modeling method for detecting moving object and extract the motion features from each moving object for making feature vectors. After that, we detect the loitering behavior person using K-Nearest Neighbor classifier. We test the proposed method in real world environment and it can achieve real time and robust detection results.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.63 no.11
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• pp.1559-1563
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• 2014

Recently, the prevention of crime using CCTV draws special in accordance with the higher crime incidence rate. Therefore security systems like a CCTV with audio capability are developing for giving an instant alarm. This paper proposes a scream detecting engine from various ambient noises in real environment for surveillance systems. The proposed engine detects scream signals among the various ambient noises using the features extracted in time/frequency domain. The experimental result shows the performance of our engine is very promising in comparison with the traditional engines using the model based features like LPC, LPCC and MFCC. The proposed method has a low computational complexity by using FFT and cross correlation coefficients instead of extracting complex features like LPC, LPCC and MFCC. Therefore the proposed engine can be efficient for audio-based surveillance systems with low SNRs in real field.