• Management & Information Systems Review
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• v.36 no.5
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• pp.45-60
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• 2017

This study aims to elucidate the key improvements through the current state of customer support for smart home services based on the Internet of things and the evaluation of user's usage. Smart home services typically provide a wide range of value in terms of security, safety, manageability (electricity and water use), convenience, and remote management accessibility. In this study, we analyzed the current state of smart home service based on Internet of Samsung, SKT and LG U + companies in Korea. However, since LG U+ is the only company providing user reviews, there is a limit to generalization, but we are trying to figure out whether the customer value is conveyed properly or not, and in which part the customer support is focused to support the service. As a result of analyzing the results of the study, we found that the smart home service is commercialized and marketed in various forms. However, it is questionable whether the technological level and user satisfaction level are sufficiently satisfied. The results of this study are as follows. First, although each company provides usage guidance, they still ask many questions about joining products and using products. Second, there are many defects in the product itself, and it is found that the companies are not satisfied with the overall response. Third, the three companies are focusing on switches, outlets, sensors, and lamps. This is an individual intelligent product rather than an interlocking or linking level, and it can be seen that there are many parts that are not compatible with the concept of the original Internet of things. In conclusion, this study shows that there are still many areas to improve on the level of customer service provision of smart home service, in particular, the ease of use is low and the quality of products is not reliable. We would like to present the improvement of this in detail through this study and reflect the companies that provide it and the service providers.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.862-865
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• 2020

최근 5G, 인공지능(AI) 등과 함께 사물인터넷 (IoT) 기술이 주목받고 있으며, 보안 위협 또한 증가하고 있다. IoT 기기에 대한 다양한 공격 기법들이 존재하는 만큼 IoT 보안에 관한 연구 또한 활발하게 진행되고 있다. 본 논문에서는 IoT 환경에서의 보안 위협에 대응하기 위한 딥러닝 기반의 탐지기법들의 최신 연구 동향과 앞으로의 방향을 살펴본다.

• Journal of Intelligence and Information Systems
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• v.25 no.2
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• pp.57-75
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• 2019

In this paper, we conducted a study focusing on the innovation direction of the documentary model on the Internet of Things industry, which is the most actively industrialized among the core technologies of the 4th Industrial Revolution. Policy, economic, social, and technical issues were derived using PEST analysis for global trend analysis. It also presented future prospects for the Internet of Things industry of ICT-related global research institutes such as Gartner and International Data Corporation. Global research institutes predicted that competition in network technologies will be an issue for industrial Internet (IIoST) and IoT (Internet of Things) based on infrastructure and platforms. As a result of the PEST analysis, developed countries are pushing policies to respond to the fourth industrial revolution through cooperation of private (business/ research institutes) led by the government. It was also in the process of expanding related R&D budgets and establishing related policies in South Korea. On the economic side, the growth tax of the related industries (based on the aggregate value of the market) and the performance of the entity were reviewed. The growth of industries related to the fourth industrial revolution in advanced countries overseas was found to be faster than other industries, while in Korea, the growth of the "technical hardware and equipment" and "communication service" sectors was relatively low among industries related to the fourth industrial revolution. On the social side, it is expected to cause enormous ripple effects across society, largely due to changes in technology and industrial structure, changes in employment structure, changes in job volume, etc. On the technical side, changes were taking place in each industry, representing the health and medical sectors and manufacturing sectors, which were rapidly changing as they merged with the technology of the Fourth Industrial Revolution. In this paper, various management methodologies for innovation of existing business model were reviewed to cope with rapidly changing industrial environment due to the fourth industrial revolution. In addition, four criteria were established to select a management model to cope with the new business environment: 'Applicability', 'Agility', 'Diversity' and 'Connectivity'. The expert survey results in an AHP analysis showing that Business Model Canvas is best suited for business model innovation methodology. The results showed very high importance, 42.5 percent in terms of "Applicability", 48.1 percent in terms of "Agility", 47.6 percent in terms of "diversity" and 42.9 percent in terms of "connectivity." Thus, it was selected as a model that could be diversely applied according to the industrial ecology and paradigm shift. Business Model Canvas is a relatively recent management strategy that identifies the value of a business model through a nine-block approach as a methodology for business model innovation. It identifies the value of a business model through nine block approaches and covers the four key areas of business: customer, order, infrastructure, and business feasibility analysis. In the paper, the expansion and application direction of the nine blocks were presented from the perspective of the IoT company (ICT). In conclusion, the discussion of which Business Model Canvas models will be applied in the ICT convergence industry is described. Based on the nine blocks, if appropriate applications are carried out to suit the characteristics of the target company, various applications are possible, such as integration and removal of five blocks, seven blocks and so on, and segmentation of blocks that fit the characteristics. Future research needs to develop customized business innovation methodologies for Internet of Things companies, or those that are performing Internet-based services. In addition, in this study, the Business Model Canvas model was derived from expert opinion as a useful tool for innovation. For the expansion and demonstration of the research, a study on the usability of presenting detailed implementation strategies, such as various model application cases and application models for actual companies, is needed.

• 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 KIISE
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• v.42 no.10
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• pp.1268-1279
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• 2015

In order to manage a large number of devices connected to the Internet of Things (IoT), the Internet Engineering Task Force (IETF) proposed the IPv6 Routing Protocol for Low Power and Lossy Networks (RPL). The route of the RPL network is generated through the use of an Objective Function (OF) that is suitable for the service that is required for the IoT network. Since the route of the RPL network is conventionally simply chosen only by considering the link quality between the nodes, it is sensible to seek an OF that can also provide better Quality of Service (QoS). In previous studies, the end-to-end delay might possibly be sub-optimal because they only deal with problems related to the reduction of energy consumption and not to the link quality on the path to the sink node. In this study, we propose a scheme that reduces the end-to-end delay but also gives full consideration to both the quality on the entire route to the destination and to the expected lifetime of nodes with bottlenecks from heaped traffic. Weighting factors for the proposed scheme are chosen by experiments and the proposed scheme can reduce the end-to-end delay and the energy consumption of previous studies by 20.8% and 10.5%, respectively.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.12 no.5
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• pp.493-498
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• 2019

This study deals with the analysis of the technology association rules between CPC codes of the Internet of Things(IoT) patent, the core of the Fourth Industrial Revolution ICT-based technology. The association rules between CPC codes were extracted using R, an open source for data mining. To this end, we analyzed 369 of the 605 patents related to the Internet of Things filed with the Patent Office until July 2019, with a complex CPC code, up to the subclass-level. As a result of the technology association rules, CPC codes with high support were [H04W ${\rightarrow}$ H04L](18.2%), [H04L ${\rightarrow}$ H04W](18.2%), [G06Q ${\rightarrow}$ H04L](17.3%), [H04L ${\rightarrow}$ G06Q](17.3%), [H04W ${\rightarrow}$ G06Q](9.8%), [G06Q ${\rightarrow}$ H04W](9.8%), [G06F ${\rightarrow}$ H04L](7.9%), [H04L ${\rightarrow}$ G06F](7.9%), [G06F ${\rightarrow}$ G06Q](6.2%), [G06Q ${\rightarrow}$ G06F](6.2%). After analyzing the technology interconnection network, the core CPC codes related to technology association rules are G06Q and H04L. The results of this study can be used to predict future patent trends.

• Review of KIISC
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• v.28 no.5
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• pp.15-19
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• 2018

사물인터넷 기술은 기본적으로 다양한 대규모의 IoT 디바이스가 인터넷에 연결되어 디바이스로부터 수집되는 데이터을 통해 스마트한 서비슬 제공하는 기술이다. 그러나, 이런한 환경은 역으로 다양한 사양의 다비이스가 네트워크에 연결되기 때문에 가장 취약한 지점으로 통해 IoT 네트워크를 공격할 수 있게 된다. 따라서, 저사양 IoT 디바이스일지라도 전제 연결 네트워크의 보안 수준에 걸맞는 보안강도를 보장해야 하는 다소 역설적인 상황에 봉착하게 된다. 이러한 상황을 해결하기 위해 저사양 IoT 디바이스의 보안을 강화할 수 있는 기술이 시급하다고 할 수 있다. 본 논문에서는 이를 위해 PUF 개념을 일반화하여 디바이스 DNA라는 새로운 개념을 정의하고 기본적인 디바이스 DNA의 성질을 바이오인식 기술에서 차용하여 설명하고자 한다.

• Journal of Internet of Things and Convergence
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• v.1 no.1
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• pp.5-9
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• 2015

In this paper, we proposed a design of interactive augmented reality coloring book. The proposed method improves user's participation and interest by using real space, augmented reality space, and virtual reality space all together. According to the proposed method, we implemented the PlayingHouse, an interactive augmented reality coloring book. In the future, we expect that AR coloring book could be the category of the library.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.325-326
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• 2020

최근 5G의 영향으로 인터넷에 연결되는 사람과 기기가 더욱 증가하고 있고 새로운 사물인터넷(Internet of Things) 애플리케이션이 가능해짐에 따라 트래픽 양이 급증하고 있다. 그러나 국내의 많은 기업은 이러한 트래픽을 분석하기 위해 고비용의 외산 제품을 이용하고 있다. 그러나 이러한 제품은 네트워크상에서 처리되는 트래픽에 대한 통계 데이터를 저장하고 보여주는 것을 주된 목적으로 사용하고 있을 뿐 패킷을 자세하게 분석하기 어렵다는 단점이 있다. 따라서 본 논문에서는 대용량 트래픽 처리를 위한 효율적인 패킷 처리 엔진을 제안한다. 이 패킷 처리 엔진은 다수의 Core Process를 활용하여 시스템 자원을 최대한 활용할 수 있도록 하고, 멀티 프로세싱을 통하여 각 노드의 작업부하를 균등하게 유지함으로써 작업의 대기시간을 줄이고, 각 작업의 수행 시간을 최소화한다. 본 논문에서 제안하는 대용량 트래픽 처리를 위한 패킷 처리 엔진은 기존의 트래픽 처리를 수행하는 패킷 처리 엔진보다 고성능 컴퓨팅 시스템의 성능 향상 면에서 우수함을 보인다.

• Journal of Digital Convergence
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• v.14 no.5
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• pp.47-55
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• 2016

The purpose of this study is to analyze the status of various government support policy for IoT sector and survey the level of satisfaction and relative importance among policies. In order to achieve the goal, this study surveyed experts in the field of IoT, utilizing Hierarchy Process Analysis methods. Major findings are as follows; first, despite of wide range of IoT-related policies, experts in the industry and academy are very limited, ; second, the order of policy satisfaction is primarily on Oversea Marketing, followed by R&D support, Venture support, Human resource education.; third, the order of importance is primarily Venture support, followed by R&D support, Human resource education. Also, it has been given the higher importance to the role of leader as R&D support, Oversea market pioneering, and industry university network, rather than the role of coordinator and supporter. However, expert group does not recognize the importance of policies related to the role of coordinator because these policies always have been conducted in major government projects.