• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.67-70
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• 2019

Blockchain, which emerged with the development of IT technology, has emerged as a new technology in security in recent years, although it has only been known as a technology associated with digital currencies, such as bitcoin. In particular, various studies have been conducted involving biometric technology and blockchain in the security of the mobile environment, and blockchain-based certifications between different devices are also presented in the IoT base of the wireless mobile environment. In this paper, we want to analyze the trends that are currently being applied to various wireless mobile environments and set up guidelines for future blockchain research.

• KIPS Transactions on Computer and Communication Systems
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• v.3 no.10
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• pp.337-350
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• 2014

Internet-of-Things(IoT) is the computing paradigm converged with different technologies, where diverse devices are connected via the wireless network, acquire environmental information from their equipped sensors, and are actuated. IoT applications provide smart services to users by interacting with multiple devices connected to the network. IoT devices provide the simple set of the information and also offer smart services by collaborating with other devices. That is, IoT applications always interact with IoT devices which are becoming very popular at a fast pace. However, due to this fact, developing IoT application results in unconventional technical challenges which have not been observed in typical software applications. Moreover, since IoT computing has its own characteristics which are distinguished from other former paradigms such as embedded computing and mobile computing, IoT applications also reveal their own technical challenges. Therefore, we analyze technical challenges occurring in developing IoT applications and present effective solutions to overcome the challenges. To verify identified issues and presented solutions, we present the result of performing a case study of developing an IoT application. Through the case study, we verify how the unconventional technical issues are raised in a real domain and analyze effectiveness of applying the solutions to the application.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.4
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• pp.218-225
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• 2020

The purpose of this paper is to establish an IoT-based big data platform that can check the space and form analysis in various play cultures of children. Therefore, to this end, in order to understand the healthy play culture of children, we are going to build a big data platform that allows IoT and smart devices to work together to collect data. Therefore, the goal of this study is to develop a big data platform linked to IoT first in order to collect data related to observation of children's mobile movements. Using the developed big data platform, children's play culture can be checked anywhere through observation and intuitive UI design, quick information can be automatically collected and real-time feedback, data collected through repeaters can be aggregated and analyzed, and systematic database can be utilized in the form of big data.

• Journal of Korea Society of Digital Industry and Information Management
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• v.13 no.1
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• pp.23-35
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• 2017

With the popularization of mobile devices, the number of social network service users is increasing, thereby the amount of data is also increasing accordingly. As Internet of Things environment is expanding to connect things and people, there is information much more than before. In such an environment, it becomes very important to recommend the necessary information to the user. In this paper, we propose a recommendation method that considers new users in IoT environment. In the proposed method, we recommend the information by applying the centrality-based social network analysis method to the recommendation method using the social relationships in the social IoT. We describe the seven-step recommendation method and apply them to the music circle scenario of the IoT environment. Through the music circle scenario, we show that we can recommend more suitable information to new users in the IoT environment than the existing recommendation method.

• Annual Conference of KIPS
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• 2018.10a
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• pp.932-935
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• 2018

혼자서 영유아를 돌볼 때 아이 옆을 비우고 일을 처리하게 된다. 이 때 아이를 신경 쓰며 추가적인 시간과 노력을 소비하게 된다. 이러한 부재를 해결하기 위해 아이돌봄 보조가 필요하게 되었고 IoT를 통해 해결하려는 많은 노력이 있었으나 확장성의 제한으로 실효성 문제가 발생하였다. 이러한 문제를 해결하고자 본 연구에서는 SNS 채팅봇과 결합하여 확장성과 사용자에게 친근감을 줄 수 있는 IoT 스마트모빌을 설계 및 구현하였다. 본 IoT 스마트모빌은 원격에서도 사진, 온습도 및 미세먼지와 같은 환경을 확인 할 수 있으며 아기가 울거나 환경이 불쾌해지면 알람을 받아볼 수 있는 시스템이다.

• Annual Conference of KIPS
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• 2015.10a
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• pp.839-842
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• 2015

소형 모바일 IoT장비에서는 사양과 환경 등 많은 제약이 따르기 때문에 컴퓨터에서의 인터넷 보안을 똑같이 제공할 수 없다. 많은 제약 조건에도 불구하고 소형 모바일 IoT에서 보안을 적용할 수 있도록, 암/복호화 프로토콜을 제안한다. 현재 무선랜에서 사용하고 있는 암/복호화 프로토콜인 CCMP를 IoT 환경에 맞게 응용한 프로토콜 $CCMP^*$의 진행과정을 소개한다.

• Annual Conference of KIPS
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• 2015.10a
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• pp.566-568
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• 2015

최근 IETF(Internet Engineering Task Force) CoRE(Constrained RESTful Environment) 워킹그룹에서 IoT 프로토콜로 CoAP(Constrained Application Protocol)을 표준으로 채택하였다. 본 논문에서는 모바일 환경에서 CoAP 프로토콜을 이용한 자원 디렉토리 기반의 IoT 노드와 스마트폰 연결 구조를 제시한다. 스마트폰과 IoT(Internet of Things) 노드 사이에 자원 디렉토리를 두고, 이를 통해 스마트폰은 IoT 노드를 검색하고 상황 정보를 습득할 수 있도록 하고 있다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.347-350
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• 2018

In order for an IoT system to automatically make the house temperature pleasant for the user, the system needs to predict the optimal start-up time of air-conditioner or heater to get to the temperature that the user has set. Predicting the optimal start-up time is important because it prevents extra fee from the unnecessary operation of the air-conditioner and heater. This paper introduces an ANN(Artificial Neural Network) and an IoT system that predicts the cooling and heating time in households using air-conditioner and heater. Many variables such as house structure, house size, and external weather condition affect the cooling and heating. Out of the many variables, measurable variables such as house temperature, house humidity, outdoor temperature, outdoor humidity, wind speed, wind direction, and wind chill was used to create training data for constructing the model. After constructing the ANN model, an IoT system that uses the model was developed. The IoT system comprises of a main system powered by Raspberry Pi 3 and a mobile application powered by Android. The mobile's GPS sensor and an developed feature used to predict user's return.

• Journal of Computing Science and Engineering
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• v.12 no.1
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• pp.12-23
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• 2018

The Internet of Things (IoT) ecosystem potentially includes heterogeneous devices with different processing mechanisms as well as very complicated network and communication models. Thus, analysis of data associated with adverse conditions is much more complicated. Moreover, mobile things in the IoT lead to dynamic alteration of environments and developments of a dynamic and ultra-large-scale (ULS) environment. Also, IoT and the services provided by that are mostly based on devices with limited resources or things that may not be capable of hosting conventional controls. Finally, the dynamic and heterogeneous and ULS environment of the IoT will lead to the emergence of new security requirements. The conventional preventive and diagnostic security controls cannot sufficiently protect it against increasing complication of threats. The counteractions provided by these methods are mostly dependent on insufficient static data that cannot sufficiently protect systems against sophisticated and dynamically evolved attacks. Accordingly, this paper investigates the current security approaches employed in the IoT architectures. Moreover, we define the dynamic security based on dynamic event analysis, dynamic engineering of new security requirements, context awareness and adaptability, clarify the need for employment of new security mechanism, and delineate further works that need to be conducted to achieve a secure IoT.

• Proceedings of the Korean Society of Computer Information Conference
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• 2017.07a
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• pp.407-408
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• 2017

본 논문에서는 기존의 비데와 인체 정보 수집 센서류를 결합한 IoT기반의 스마트 비데를 위해 생체 측정 데이터를 효과적으로 관리하고 사용자들의 사용 편의성을 증가시키는 모바일 기반 어플을 설계한다. 제시하는 모바일 어플은 스마트 비데의 체온센서, 산소포화도센서, 압력센서를 통해 수집된 사용자의 생체정보를 블루투스 기반 통신을 통해 실시간으로 생체신호를 수집 및 디스플레이 하며, 특정 기간의 데이터 통계를 통해 생체 정보의 이력을 사용자에게 효과적으로 제공함으로써 각종 질병 예방에 기여할 수 있다.