• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.1
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• pp.135-141
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• 2018

In this paper, we describe design and implementation of optimal smart home control system. Recent developments in technologies such as sensors and communication have enabled the Internet of Things to control a wide range of objects, such as light bulbs, socket-outlet, or clothing. Many businesses rely on the launch of collaborative services between them. However, traditional IoT systems often support a single protocol, although data is transmitted across multiple protocols for end-to-end devices. In addition, depending on the manufacturer of the Internet of things, there is a dedicated application and it has a high degree of complexity in registering and controlling different IoT devices for the internet of things. ARIoT system, special marking points and edge extraction techniques are used to detect objects, but there are relatively low deviations depending on the sampling data. The proposed system implements an IoT gateway of object based on OneM2M to compensate for existing problems. It supports diverse protocols of end to end devices and supported them with a single application. In addition, devices were learned by using deep learning in the artificial intelligence field and improved object recognition of existing systems by inference and detection, reducing the deviation of recognition rates.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.11a
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• pp.1229-1230
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• 2017

IoT(Internet of Things, 사물인터넷)는 각종 사물에 센서와 통신 기능을 내장하여 인터넷에 연결하는 기술을 의미한다. 최근 이러한 사물인터넷 장비들은 국방, 금융, 보안 등 여러 분야에 걸쳐 이용되고 있다. 본 논문은 사물인터넷 장비에서 물체 인식을 위한 OpenCV 라이브러리를 사용하여 도난 방지 시스템을 설계 및 구현한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.04a
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• pp.463-465
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• 2015

사물인터넷 (IoT), 핀테크(Fintech) 등 새로운 기술의 등장으로 보안성에 대한 부분이 커지고 있다. 모든 사물이 인터넷과 연결되는 사물인터넷 기술로 인해 악성행위와의 접점이 크게 증가했으며, 핀테크(Fintech)는 전통적인 보안시스템의 개혁을 요구하고 있기 때문이다. 사물인터넷 환경에서 이루어지는 간편 인증 결제시스템이 발전함에 따라 다양한 보안위협요소가 발생할 것으로 예상한다. 접점의 증가로 인해 고객이 실수로 악성코드를 받게 될 가능성과 사물인터넷의 핵심 기능인 원격접속에 대한 위협이 대표적인 예라고 할 수 있다. 그러나 현재 고객의 단말을 강제로 통제할 수 있는 방법이 전무한 상황이고, 향후 서비스에서 필요한 고객정보수집과 활용에 대한 정책이 필요한 시점에서 발생할 수 있는 해킹 기법을 제안하고자 한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.351-354
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• 2016

The competition of Go between AlphaGo and Lee Sedol attracted global interest leading AlphaGo to victory. The core function of AlphaGo is deep-learning system, studying by computer itself. Afterwards, the utilization of deep-learning system using artificial intelligence is said to be verified. Recently, the government passed the loT Act and developing its business model to promote loT. This study is on analyzing IoT business environment using deep-learning AI and constructing specialized business models.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.6
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• pp.871-880
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• 2017

Recently, service based on internet is inter-connected and integrated with a variety of connection. This kind of internet of things consist of heterogenous devices such as sensor node, devices and end-to end equipment which used in conventional protocols and services. The representative system is healthcare system. From healthcare appliance used by IoT, patient and doctor can utilize healthcare information with safety and high speed management. It is very convenient management to operate mobility. But it induced security and vulnerability issues because it has small memory capacity, low power supply and low computing power. This made impossible to implement security algorithm with embedded engine based on hardware. Nowdays, we can't realize conventional standard algorithm due to these kinds of reasons. From the critical issues, it occurred security and vulnerability issues. Therefore, we analysed and compared with conventional method and proposed techniques. Finally, we evaluated security issues and requirement for end-to-end point healthcare system based on internet of things.

• Proceedings of the Korean Society of Computer Information Conference
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• 2016.07a
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• pp.123-124
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• 2016

본 논문에서는 사물인터넷 기법을 원격지에서 재배환경을 제어할 수 있는 온실 원격제어시스템을 제안한다. 온실원격제어시스템은 온실내의 환경정보를 계측하여 서버에 저장하고, 이 정보를 이용하여 사용자가 제어함으로서 최적의 재배환경으로 조절하고, 저장된 재배 환경정보를 활용하여 작물의 최적의 재배를 위한 기초 자료로 활용하도록 한다. 온실 원격 제어시스템을 웹과 연동하여 각종 기기를 이용하여 원격으로 제어함으로서 각 사용자들이 온실에 접근하지 않고 원격으로 환경을 제어할 수 있도록 구성하였다. 온실 원격제어시스템은 제어부, 통신부 그리고 계측부로 구성하였으며, 무선인터넷을 통하여 5초마다 제어신호를 확인하여 처리하고, 온도를 측정하여 서버에 저장하여 동작을 확인하였다. 따라서 본 논문에서 제안하는 온실 원격제어시스템은 최적의 생장환경을 지속적으로 제공하여 농가의 생산 효율성을 증대 시킬 수 있으리라 사료된다.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2017.11a
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• pp.133-136
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• 2017

사회재난을 예방하고 재난 상황에서 위기 대처를 신속하게 수행하기 위해서는 재난 상황을 신속하게 인지하는 것이 중요하다. 재난 상황의 신속한 인지를 위해서는 현장에 설치된 각종 센서로부터 상황 정보를 사물인터넷을 통해서 빠르게 수집하고 중요 이벤트 발생을 인식하는 것이 중요하다. 이를 위해서 수위 센서 데이터의 효율적인 수집과 데이터 전송을 위한 사물인터넷 기반 사회재난 상황 알림 시스템을 설계하고 평가한다.

• Journal of Internet Computing and Services
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• v.19 no.2
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• pp.17-26
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• 2018

Recently, through the emergence and convergence of Internet services, the unified Internet of thing(IoT) service platform have been researched. Currently, the IoT service is constructed as an independent system according to the purpose of the service provider, so information exchange and module reuse are impossible among similar services. In this paper, we propose a operation based service classification algorithm for various services in order to provide an environment of unfied Internet platform. In implementation, we classify and cluster more than 100 commercial IoT services. Based on this, we evaluated the performance of the proposed algorithm compared with the K-means algorithm. In order to prevent a single clustering due to the lack of sample groups, we re-cluster them using K-means algorithm. In future study, we will expand existing service sample groups and use the currently implemented classification system on Apache Spark for faster and more massive data processing.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.564-565
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• 2019

The Internet of Things technology is regarded as the next major technology that will be the driving force behind the fourth industrial revolution. The characteristics of entities for Internet of Things application are changing more actively and actively, requiring a more detailed approach, but existing access control technologies are designed around users, requiring access control techniques that maintain efficiency and security with less system load to apply complex and variable content. Therefore, research on role-based access controls that are appropriate for Internet of Things entities is essential. In this study, the relevant research for the study of access control of the Internet of Things entities and the RBAC and AC methods that can define the properties of the various entities within the Internet of Things.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.4
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• pp.728-738
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• 2016

We are currently able to share not only the information from humans but also the data from connected things on the Internet. We are getting close to IoT era because of progress of Information Communication Technology. Therefore, the ways of data transfer are offered between things to things. One of typical way is the HTTP protocol. However, The field of Internet of Things platforms requires more fast and more stable communication protocol to handle massive data. The system supporting HTTP protocol, there is a problem of transmission efficiency in a relatively large header compared to data. also HTTP protocol system overload situations and the problem of data compatibility happens due to each standard of many organizations. Thus, To solve these problems, I suggest the data collection solution based on MQTT protocol for the operation of the stable IoT platforms.