• Journal of Internet of Things and Convergence
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• v.1 no.1
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• pp.21-25
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• 2015

The Internet of Thing (IoT) will be a very important core technology to implement Intelligent Smart Home Network and it will take charge of an important role connected to Smart Phone, Cloud Computing in the Ubiquitous environment. In this paper, Internal Autonomous Regulation by human autonomic nervous system was studied and its core mechanism was applied to the design of IoT based Autonomous Regulation System for Intelligent Smart Home Network. We proposed an autonomous regulating mechanism in which the factors of Temperature, Humidity and Illumination are automatically adjusted as they communicate with the connected things.

• Journal of Industrial Convergence
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• v.17 no.2
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• pp.21-27
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• 2019

The Internet of things is the infrastructure that can communicate with each other by exchanging information by installing antennas that can communicate with all things in the world. The reason why the Internet of Things is the core of the Fourth Industrial Revolution is that data is collected through the Internet to be. Technology of things Internet and Trend of Things Internet IoT (Internet of Things) is a concept that enables internet connection and communication between devices equipped with various sensors. It is the core IT trend of lot, technology such as big data, mobile, cloud And to provide information for the development of the industrial environment through research on the importance of the Internet of things, the core of the Fourth Industrial Revolution and the processing and analysis techniques of Big Data. By providing various security measures and future technologies, This study was conducted to contribute to management.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.27 no.2
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• pp.353-360
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• 2017

The Internet of Things(IoT) security has more need than a technical problem as it needs series of regulations and faultless security system for common purposes. So, this study proposes an efficient key management in order that can be trusted IoT data in cloud computing. In contrast with a key distribution center of existing sensor networks, the proposed a federation key management of cloud proxy key server is not central point of administration and enables an active key recovery and update. The proposed key management is not a method of predetermined secret keys but sharing key information of a cloud proxy key server in autonomous cloud, which can reduce key generation and space complexity. In addition, In contrast with previous IoT key researches, a federation key of cloud proxy key server provides an extraction ability from meaningful information while moving data.

• KIPS Transactions on Computer and Communication Systems
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• v.11 no.10
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• pp.345-352
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• 2022

Recent LiDAR(Light Detection And Ranging) sensor is used for scanning object around in real-time. This sensor can detect movement of the object and how it has changed. As the production cost of the sensors has been decreased, LiDAR begins to be used for various industries such as facility guard, smart city and self-driving car. However, LiDAR has a large input data size due to its real-time scanning process. So another way for processing a large amount of data are needed in LiDAR system because it can cause a bottleneck. This paper proposes edge computing to compress massive point cloud for processing quickly. Since laser's reflection range of LiDAR sensor is limited, multiple LiDAR should be used to scan a large area. In this reason multiple LiDAR sensor's data should be processed at once to detect or recognize object in real-time. Edge computer compress point cloud efficiently to accelerate data processing and decompress every data in the main cloud in real-time. In this way user can control LiDAR sensor in the main system without any bottleneck. The system we suggest solves the bottleneck which was problem on the cloud based method by applying edge computing service.

• Journal of KIISE
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• v.43 no.6
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• pp.710-717
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• 2016

Recently, several research studies on things abstraction framework have been proposed in order to implement the multi-service Internet of Things (IoT) system, where various IoT services share the thing devices. Distributed things abstraction has an IoT service duplication problem, which aggravates power consumption of mobile devices and network traffic. On the other hand, cloud server-centric things abstraction cannot cover real-time interactions due to long network delay. Fog server-centric things abstraction has limits in insufficient IoT interfaces. In this paper, we propose Smart Fog which is a fog server-centric things abstraction framework to resolve the problems of the existing things abstraction frameworks. Smart Fog consists of software modules to operate the Smart Gateway and three interfaces. Smart Fog is implemented based on IoTivity framework and OIC standard. We construct a smart home prototype on an embedded board Odroid-XU3 using Smart Fog. We evaluate the network performance and energy efficiency of Smart Fog. The experimental results indicate that the Smart Fog shows short network latency, which can perform real-time interaction. The results also show that the proposed framework has reduction in the network traffic of 74% and power consumption of 21% in mobile device, compared to distributed things abstraction.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.319-322
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• 2017

크롬비트는 크롬 OS를 기반으로 하여 사용자 맞춤형 클라우드 서비스를 제공하는 스틱 PC이다. 기존의 크롬북이 이동성을 강조한 외부 인터넷 환경에 특화된 기기라고 할 때, 크롬비트는 스마트 TV구축 등을 비롯한 내부 인터넷 환경에 특화된 기기라고 볼 수 있다. 이처럼 크롬 OS를 실내와 실외에서 사용 가능하다는 것을 감안한다면 클라우드와 사물인터넷 등을 매개로 하는 4차 산업 혁명에 가장 근접한 OS 임에 틀림이 없다. 그럼에도 불구하고 현재 이 운영체제의 개발 속도와 더불어 보안 취약점 분석을 위한 방안은 전혀 마련되어 있지 않다. 그래서 본 논문에서는 취약점 분석 쉘 스크립트 실행을 통한 성능 향상 방안 마련과 크롬 OS의 보안 성능 개선 여부 확인을 살펴보고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.806-808
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• 2015

IoT(Internet of Things) 환경으로 변화됨에 따라 다양한 사물들이 네트워크에 연결되게 되었고 이에 따라 다양한 보안 위협들이 나타나게 되었다. 그 중 스마트TV(Smart TV)는 해킹에 취약하여 악성코드에 감염되기 쉽고 티비싱(Tvishing) 사기를 당할 수 있다. 이에 본 논문에서는 스마트TV에 애플리케이션(Application)을 설치하기 전 클라우드 환경에서 필터링 기법을 이용하여 악성코드를 탐지함으로 사용자의 피해를 줄이는 방안을 제시한다. 제안하는 방법을 통해 티비싱의 피해를 줄일 수 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.04a
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• pp.972-974
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• 2012

최근 인간의 삶의 질을 높이기 위하여 다양한 분야가 IT 기술과 접목되고 있다. 전 세계적으로 홈 오토메이션 시스템이 각광받고 있으며, 더욱 효율적인 방법을 찾기 위해 M2M(사물간 통신) 및 클라우드 기술이 접목되고 있다. 본 논문에서는 스마트홈에서 경량화된 홈 게이트웨이 구조 제안을 위해 M2M 및 OSGi 등의 관련 기술을 연구함으로써 기존 기법의 문제점을 해결하고 변화하는 환경에 맞는 홈 게이트웨이 솔루션을 제시하기 위한 기반을 마련하고자 한다.

• Journal of Convergence for Information Technology
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• v.11 no.12
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• pp.1-13
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• 2021

This study tried to suggest ways to improve the indicator system to strengthen the personal information protection. For this purpose, the components of indicator system are derived through domestic and foreign literature, and it was selected as main the diagnostic indicators through FGI/Delphi analysis for personal information protection experts and a survey for personal information protection officers of public institutions. As like this, this study was intended to derive an inspection standard that can be reflected as a separate index system for personal information protection, by classifying the specific IT technologies of the 4th industrial revolution, such as big data, cloud, Internet of Things, and artificial intelligence. As a result, from the planning and design stage of specific technologies, the check items for applying the PbD principle, pseudonymous information processing and de-identification measures were selected as 2 common indicators. And the checklists were consisted 2 items related Big data, 5 items related Cloud service, 5 items related IoT, and 4 items related AI. Accordingly, this study expects to be an institutional device to respond to new technological changes for the continuous development of the personal information management level diagnosis system in the future.

• Journal of Digital Convergence
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• v.17 no.8
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• pp.123-130
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• 2019

The advent of the full-fledged Internet of Things era will bring together various types of information through Internet of Things devices, and the vast amount of information collected will be generated as new information by the analysis process. To effectively store this generated information, a flexible and scalable cloud computing system is advantageous. Therefore, the main determinants for effective client system acceptance are viewed as motivator factor (economics, efficiency, etc.) and hindrance factor (transitional costs, security issues, etc.) and the purpose of this study is to determine which detailed factors play a major role in making new system acceptance decisions around harm. The factors required to determine the major priorities are defined as the system acceptance determinants from the technical point of view obtained through the literature review, and the questionnaire is prepared based on the factors derived, and the survey is conducted on the experts concerned. In addition, the AHP analysis aims to achieve a final priority by performing a bifurcation between components for measuring a decision unit. Furthermore, the results of this study will serve as an important basis for making decisions based on acceptance (enabling) of technology.