• Information and Communications Magazine
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• v.32 no.9
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• pp.17-23
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• 2015

This paper presents design methodologies for 5G architecture ensuring lower latency than 4G/LTE. Among various types of 5G use cases discussed in standardization bodies, we believe mobile broadband, massive IoT(Internet of Things) and mission-critical IoT will be the main 5G use cases. In particular, a mission-critical IoT service such as remote controlled machines and connected cars is regarded as one of the most distinguished use cases, and it is indispensable for underlying networks to support sufficiently low latency to support them. We identify three main strategic directions for end-to-end network latency reduction, namely new radio access technologies, distributed/flat network architecture, and intelligent end-to-end network orchestration.

• Convergence Security Journal
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• v.15 no.7
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• pp.103-110
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• 2015

The security of the data exchanged between sensor nodes in IoT (Internet of Things) environment becomes increasing. In the conventional IEEE 802.15.4, the key for secure communication between the sensor node and the sensor node and the PAN Coordinator or the sensor node is assumed to be pre-shared in advance. Especially, there is another problem in that sensor node authentication is not considered during the association process. In this paper, we propose a security scheme that solves the problems of previously proposed protocols with the pre-shared key for all devices.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.876-879
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• 2015

Inernet of Things(IoT) is a network to be interconnected with things anytime, anywhere. This means interaction with each other, collecting, sharing, and analysing the data. IoT also offers a new paradigm shift in industry. In particular, the combining with the fields of health care services has been noted. The convergence of IoT technology and health care is expected to be the innovation paradigm in the healthcare industry that includes all of the changes to bring the mobile health and wearable health care devices. This study analyzes IoT, health care status, and the use cases of the IoT in the medical field, finally analyses security on the Internet of Things, the most important issues of security challenges while still in medical services.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.7
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• pp.2874-2891
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• 2016

Due to its potential, the Internet of Things (IoT) begins to be used in the industrial field. Nevertheless, although the concept called the Industrial Internet of Things does not know a widely accepted definition, it is based on the existing technology, and introduces the IoT in the industrial environment through the compliance with specific additional requirements and by integrating various fieldbuses with distinctive features, from the real-time point of view. The aim of this paper is to propose a practical architecture for the Industrial Internet of Things. The proposed architecture is designed around the Data Distribution Service for Real Time System (DDS) middleware protocol, and it is organized on four levels. Between these levels, it is defined standard interface, and they can be developed independently. For this reason, the architecture is scalable because at the middleware level, the DDS can be replaced by other middleware systems. At the final, it is performed a comparison between several middleware systems used in the proposed architecture.

• Journal of Internet of Things and Convergence
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• v.8 no.4
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• pp.1-7
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• 2022

As the number of IoT devices increases, power management of the cluster head, which acts as a gateway between the cluster and sink nodes in the IoT network, becomes crucial. Particularly when the cluster head is a mobile wireless terminal, the power consumption of the IoT network must be minimized over its lifetime. In addition, the delay of information transmission in the IoT network is one of the primary metrics for rapid information collecting in the IoT network. In this paper, we propose a low-power buffer management algorithm that takes into account the information transmission delay in an IoT network. By forwarding or skipping received packets utilizing deep Q learning employed in deep reinforcement learning methods, the suggested method is able to reduce power consumption while decreasing transmission delay level. The proposed approach is demonstrated to reduce power consumption and to improve delay relative to the existing buffer management technique used as a comparison in slotted ALOHA protocol.

• International Journal of Advanced Culture Technology
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• v.4 no.3
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• pp.13-19
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• 2016

The growth of mobile devices in Internet of Things (IoT) leads to a number of remote and controlling system related IoT applications. For instance, home automation controlling system uses client system such web apps on smartphone or web service to access the home server by sending control commands. The home server receives the command, then controls for instance the light system. The web service gateway responsible for handling clients' requests attests an internet latency when an increasing number of end users requests submit toward it. Therefore, this web service gateway fails to detect several commands, slows down predefined actions which should be performed without human intervention. In this paper, we investigate the performance of a web server-side platgorm based event-driven, non-blocking approach called Node.js against traditional thread-based server side approach to handle a large number of client requests simultaneously for remote and controlling system in IoT remote monitoring applications. The Node.JS is 40% faster than the traditional web server side features thread-based approach. The use of Node.js server-side handles a large number of clients' requests, then therefore, reduces delay in performing predefined actions automatically in IoT environment.

• Journal of Korea Society of Digital Industry and Information Management
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• v.13 no.1
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• pp.49-57
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• 2017

IoT can be connected through a single network not only objects which can be connected to existing internet but also objects which has communication capability. This IoT environment will be a huge change to the existing communication paradigm. However, the big security problem must be solved in order to develop further IoT. Security mechanisms reflecting these characteristics should be applied because devices participating in the IoT have low processing ability and low power. In addition, devices which perform abnormal behaviors between objects should be also detected. Therefore, in this paper, we proposed D-IDS technique for efficient detection of malicious attack nodes between devices participating in the IoT. The proposed technique performs the central detection and distribution detection to improve the performance of attack detection. The central detection monitors the entire network traffic at the boundary router using SVM technique and detects abnormal behavior. And the distribution detection combines RSSI value and reliability of node and detects Sybil attack node. The performance of attack detection against malicious nodes is improved through the attack detection process. The superiority of the proposed technique can be verified by experiments.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.268-269
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• 2015

The current Internet environment, it is accessible by a computer, but also transferred to the IoT(Internet of Things). These data become large. If the data are provided to the application without any adjustment, it is difficult to exert the original performance. In this paper, we propose a method for filtering the data using the MapReduce of big data processing techniques to refine the collected data. We want to address the heterogeneity of the data generated by the sensor by adding a knowledge identification step in MapReduce. We use XMDR for this purpose.

• KIPS Transactions on Computer and Communication Systems
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• v.5 no.10
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• pp.311-318
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• 2016

IoT(Internet of Things areas) rich information based on the user easy access to service creation must be one of the power system of specificity due following: The IoT spread obstacle to the act be, and 'Smart Grid information of this is not easy under power plants approach the Directive on the protection measures, particularly when stringent security policies IoT technologies applied to Advanced Metering Infrastructure sector has been desired. This is a situation that occurs is limited to the application and use of IoT technologies in the power system. Power Information Network is whilst closed network operating is has a smart grid infrastructure, smart grid in an open two-way communication for review and although information security vulnerabilities increased risk of accidents increases as according to comprehensive security policies and technologies are required and can. In this paper, the IoT platform architecture design of information systems as part of the power of research and development IoT-based energy information platform aims. And to establish a standard framework for a connection to one 'Sensor-Gateway-Network-platform sensors Service' to provide power based on the IoT services and solutions. Framework is divided into "sensor-gateway" platform to link information modeling and gateways that can accommodate the interlocking standards and handling protocols variety of sensors Based on this real-time data collection, analysis and delivery platform that performs the role of the relevant and to secure technology.

• Informatization Policy
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• v.25 no.3
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• pp.29-51
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• 2018

As the core technology of the Fourth Industrial Revolution, the Internet of Things has been developed and has enabled various services, and personal information has been handled freely in the process. However, the infringement threat of personal information is increasing as more convenient services are provided and more information devices including smart devices are connected to the network. Therefore, this study is to analyze prioritizing personal information protection policy indicators in order to provide IoT services by constructing secure environment for implementing the Internet of things as the core technology of the 4th Industrial Revolution. This study reviewed personal information protection policy indicators based on the literature survey, and identified 3 fields, 9 areas, and 25 indicators through Delphi analysis for experts. The weights were calculated based on the AHP survey for 66 experts and the results were used to present the relative importance and priority of the policy indexes. The results of this study found the policy field was the most important, followed by the technical field, and the administrative field. Of the three areas of the policy field, strengthening the personal information protection laws related to IoT is the most important, while among the indicators, promoting and revising the personal information protection law related to IoT is the most important. Comparisons of the fields, areas, and indicators of IoT-related personal information protection policies found consistent values. The personal information protection policy indicators derived this way will contribute to the nation's competitiveness by expanding secure IoT policies in the future.