• Proceedings of the Korea Contents Association Conference
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• 2015.05a
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• pp.353-354
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• 2015

디지털화로 기술과 세상변화의 속도가 갈수록 빠르다. 모든 사물과 사람이 하나로 연결된 초연결사회에서 이를 유기적 지능적 자율적으로 통제하는 'AtO(All to One, 합일제어)시스템'은 모든 사물인터넷(IoT) 플랫폼을 하나로 연결해 통제하는 기술이다. 지난 10년 동안 인터넷과 스마트폰이 세상을 어떻게 바꿔놓았는지, 앞으로 다가올 AtO세상을 창조적 인재육성으로 핵심 경쟁력과 글로벌 시장 활성화에 힘써야 할 것이다.

• Proceedings of the Korea Information Processing Society Conference
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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.

• The Journal of the Korea institute of electronic communication sciences
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• v.10 no.10
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• pp.1157-1162
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• 2015

The maintenance function of Solar power plant is configured with Sensor devices, Gateway, and Maintenance Function Platform. In this paper, we designed gateway resource tree and service scenario to fit the Maintenance Function and demonstrated appropriate operation of the maintenance service through intelligent functional modeling.

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.12
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• pp.1405-1414
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• 2014

The office management service platform configured with office's sensor devices, G/DSCL(Gateway/Device Service Capability Layer), NSCL(Network Service Capability Layer), and NA(Network Application). In this paper, we designed gateway resource tree and service scenario to fit the office management service and demonstrated appropriate operation of the office management service through intelligent functional modeling.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.10
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• pp.3771-3788
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• 2015

This paper studies the distributed energy efficient resource management in the Internet of Things (IoT). Wireless communication networks support the IoT without limitation of distance and location, which significantly impels its development. We study the communication channel and energy management in the wireless communication network supported IoT to improve the ability of connection, communication, share and collaboration, by using the game theory and distributed learning algorithm. First, we formulate an energy efficient neighbor collaborative game model and prove that the proposed game is an exact potential game. Second, we design a distributed energy efficient channel selection learning algorithm to obtain the global optimum in a distributed manner. We prove that the proposed algorithm will asymptotically converge to the global optimum with geometric speed. Finally, we make the simulations to verify the theoretic analysis and the performance of proposed algorithm.

• Journal of information and communication convergence engineering
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• v.21 no.3
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• pp.185-191
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• 2023

The Internet of Things (IoT) can be defined as the connection of devices, sensors, and actors via the Internet to a single network to provide services to end-users. Owing to the flexibility and simplicity of IoT devices, which impart convenience to end-users, the demand for these devices has increased significantly in the last decade. To make these systems more scalable, achieve a larger number of connected devices, and achieve greater economic success, it is vital to develop them by considering parameters such as security, cost, bandwidth, data rate, and power consumption. This study aims to improve energy efficiency and prolong the lifetime of IoT networks by proposing a new approach called the constrained application protocol CoAP45. This approach reduces the number of updates to the CoAP server using a centralized resource. The simulation results show that the proposed approach outperforms all existing protocols.

• International Journal of Internet, Broadcasting and Communication
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• v.9 no.1
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• pp.24-28
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• 2017

In the Internet of Things (IoT), resource-limited smart devices communicate with each other while performing sensing and computation tasks. Thus, these devices can be exposed to various attacks being launched and spread through network. For instance, attacker can reuse the codes of IoT devices for malicious activity executions. In the sense that attacker can craft malicious codes by skillfully reusing codes stored in IoT devices, code-reuse attacks are generally considered to be dangerous. Although a variety of schemes have been proposed to defend against code-reuse attacks, code randomization is regarded as a representative defense technique against code-reuse attacks. Indeed, many research have been done on code randomization technique, however, there are little work on analysis of the interactions between code randomization defenses and code-reuse attacks although it is imperative problem to be explored. To provide the better understanding of these interactions in IoT, we analyze how code randomization defends against code-reuse attacks in IoT and perform simulation on it. Both analysis and simulation results show that the more frequently code randomizations occur, the less frequently code-reuse attacks succeed.

• ETRI Journal
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• v.40 no.6
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• pp.745-758
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• 2018

A wide range of studies in various disciplines has focused on the Internet of Things (IoT) and cyber-physical systems (CPS). However, it is necessary to summarize the current status and to establish future directions because each study has its own individual goals independent of the completion of all IoT applications. The absence of a comprehensive understanding of IoT and CPS has disrupted an efficient resource allocation. To assess changes in the knowledge structure and emerging technologies, this study explores the dynamic research trends in IoT by analyzing bibliographic data. We retrieved 54,237 keywords in 12,600 IoT studies from the Scopus database, and conducted keyword frequency, co-occurrence, and growth-rate analyses. The analysis results reveal how IoT technologies have been developed and how they are connected to each other. We also show that such technologies have diverged and converged simultaneously, and that the emerging keywords of trust, smart home, cloud, authentication, context-aware, and big data have been extracted. We also unveil that the CPS is directly involved in network, security, management, cloud, big data, system, industry, architecture, and the Internet.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.4
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• pp.1147-1161
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• 2023

The Internet of Things (IoT) requires a new processing model that will allow scalability in cloud computing while reducing time delay caused by data transmission within a network. Such a model can be achieved by using resources that are closer to the user, i.e., by relying on edge computing (EC). The amount of IoT data also grows with an increase in the number of IoT devices. However, building such a flexible model within a heterogeneous environment is difficult in terms of resources. Moreover, the increasing demand for IoT services necessitates shortening time delay and response time by achieving effective load balancing. IoT devices are expected to generate huge amounts of data within a short amount of time. They will be dynamically deployed, and IoT services will be provided to EC devices or cloud servers to minimize resource costs while meeting the latency and quality of service (QoS) constraints of IoT applications when IoT devices are at the endpoint. EC is an emerging solution to the data processing problem in IoT. In this study, we improve the load balancing process and distribute resources fairly to tasks, which, in turn, will improve QoS in cloud and reduce processing time, and consequently, response time.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.2
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• pp.258-264
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• 2022

The smart farm for livestock, in which information and communication technology (ICT) is combined with livestock farm, is mostly based on the cloud computing paradigm. A cloud-based smart livestock farm has disadvantages such as increased response time, burden on cloud resource caused by the increased number of IoT sensors, traffic burden on the network, and lack of failure resilience mechanisms through collaboration with adjacent IoT devices. In this paper, with these problems in mind, we propose an IoT collaboration system based on edge computing. By using the relatively limited computing resources of the edge device to share the cloud's web server function, we aim to reduce the cloud's resources needed and improve response time to user requests. In addition, through the heartbeat-based failure recovery mechanism, IoT device failures were detected and appropriate measures were taken.