• The Magazine of the IEIE
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• v.44 no.5
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• pp.43-49
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• 2017

• KIPE Magazine
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• v.25 no.4
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• pp.62-67
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• 2020

• Journal of the Korea Institute of Information Security & Cryptology
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• v.33 no.3
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• pp.537-547
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• 2023

As Internet of Things (IoT) technology evolves, IoT devices are being utilized in a variety of fields. However, it has become a new surface of cyber attacks and is affecting industries that did not previously consider cyber breaches. After a intrusion occurs, post-processing and damage spread prevention are important, but it is difficult to respond due to the lackof standards and guidelines. Therefore, in order to respond to such incidents, this paper establishes an incident data collection procedure and presents the data that can be collected to improve the intrusion data acquisition method for general IoT devices. In addition, we proved the efficiency and feasibility of the data collection procedure through experiments.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.5
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• pp.1-8
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• 2019

Internet of Things (IoT) is proliferating to provide more intelligent services by interconnecting various Internet devices, and TCP based MQTT is being used as a standard communication protocol of the IoT. Although it is recommended to use TLS/SSL security protocol for TCP with MQTT-based IoT devices, encryption and decryption performance degenerates when applied to low-specification / low-capacity IoT devices. In this paper, we propose an end-to-end message security protocol using elliptic curve cryptosystem, a lightweight encryption algorithm, which improves performance on both sides of the client and server, based on the simulation of TLS/SSL and the proposed protocol.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.2
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• pp.229-236
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• 2019

IOT middleware is required to play a pivotal role in interpreting, managing, and controlling data information of Internet devices (sensors, etc.). In particular, the root industry has different process flows for different industries, and there are various data processing requirements for each company. Therefore, a general purpose IOT middleware is needed to accommodate this. The IOT middleware structure proposed by this paper is a plug-in that can be used as an engine part for middleware basic processes such as communication, data collection, processing and service linkage, We propose a flexible and effective smart process for root industry. In addition, we propose a method to strengthen prevention and security against tampering, deodorization, etc. through encryption of network data between middleware plug - in and related service layer. We propose a system that will be developed as an IOT middleware platform that is specialized in the root industry so that it can be extended in various network protocols such as MQTT, COAP, XAMP.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.1
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• pp.179-186
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• 2018

The number of devices connect to the internet is rapidly increasing with the advent of the IoT(Internet of Things). The IoT has improved the convenience of life. However, it makes security issues such as privacy violations. Therefore cybersecurity is the most important issue to be discussed nowadays. Especially, various protocols are used for same purpose due to rapidly increase of IoT market. To deal with this security threat noble vulnerability analysis is needed. In this paper, we contribute to the IoT security by proposing a new randomness-based test case evaluation methodology using variance and entropy. The test case evaluation method proposed in this paper can evaluate the test cases at a high speed regardless of the test set size, unlike the traditional technique.

• Journal of Internet of Things and Convergence
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• v.6 no.2
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• pp.87-92
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• 2020

The surrounding environments in which we live are changing from time to time due to the influence of ICT. At the heart of this change is not only the industrial sector, but it appears in most areas of everyday life. At the center of information and communication technology are software, intelligence, and sensing technology. The government and related organizations are promoting policies to foster various software, and with these policies, the software-related industry is steadily developing. There are positive aspects about software development, but also negative ones. The problems of duplication and progress due to software development have been increasing as the software industry has increased in quantity. In this study, we proposed a more objective method based on software engineering as a solution to problems when problems related to development progress occurred during the software development process.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.11a
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• pp.1305-1319
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• 2017

정보통신(ICT)혁명에 이어 사람이 기존에 수행하던 일을 사람의 도움 없이 자동화시킬 수 있는 기술들이 4차 산업혁명의 핵심 기술로 등장하고 있다. 4차 산업혁명이 현재 산업의 지형도와 경제 사회 패러다임의 변화를 촉진하고 있는 것은 주지의 사실이며, 이에 따라 4차 산업혁명에 주요 추동력(driving force)을 제공하고 있는 핵심 플랫폼 기술 5개(인공지능, 빅데이터, 사물인터넷, 클라우드 컴퓨팅, 3D 프린팅)를 선별하여 글로벌 연구동향과 한국의 연구 수준을 파악하였다. 5개 기술에 대해 Elsevier사의 SCOPUS DB를 기반으로 최근 5년 간의 학술연구논문의 출판 현황을 분석하는 한편, 한국연구재단에서 지원된 과제 현황을 조사하였다. 이를 바탕으로 5개 기술별로 국제적 연구 수준과 주요 리딩 연구기관을 파악하였으며, 4차 산업혁명에 대응하는 연구개발의 정책적 시사점을 도출하고자 하였다. 5개 기술에 대해 미국과 중국이 선도하고 있으며, 영국, 독일, 프랑스, 이탈리아 등의 유럽 국가와 일본, 인도, 한국 등이 추격 그룹을 형성하고 있었다. 한국은 HW 대비 SW분야의 연구 경쟁력이 상대적으로 취약하였으며, 전반적으로 연구 수준의 질적 향상이 필요함을 확인하였다.

• Journal of Korea Society of Industrial Information Systems
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• v.21 no.4
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• pp.67-78
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• 2016

Recently many countries around the world are actively promoting smart city projects to address various urban problems such as traffic congestion, housing shortage, and energy scarcity. Due to development of the Internet of Things (IoT), the development of a smart city with sustainability, convenience, and environment-friendliness was enabled through the effective control and reuse of urban resources. The purpose of this study is to analyze the technical trends of IoT and present a development plan for smart city which is one of the applications of the IoT. To this end, the news articles of the Electronic Times between 2013 and 2015were analyzed using the text mining technique and smart city development cases of other countries were investigated. The analysis results revealed the close relationships of big data, cloud, platforms, and sensors with smart city. For the successful development of a smart city, first, all the interested parties in the city must work together to create new values throughout the entire process of value chain. Second, they must utilize big data and disclose public data more actively than they are doing now. This study has made academic contribution in that it has presented a big data analysis method and stimulated follow-up studies. For the practical contribution, the results of this study provided useful data for the policy making of local governments and administrative agencies for smart city development. This study may have limitations in the incorporation of the total trends because only the news articles of the Electronic Times were selected to analyze the technical trends of the IoT.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.12
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• pp.1687-1692
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• 2019

In the era of the fourth industrial revolution, advanced technologies such as the Internet of Things(IoT) and big data are emerging. However, the level of application of IoT to indoor environment is very weak. Therefore, it is necessary to develop a system for analyzing air pollutants or indoor air quality through real-time monitoring using the IoT. This paper implements a system that measures indoor environmental values using Arduino and various sensors, and stores the information obtained from various sensors into a database of server. The information stored in the server was built as a database and utilized in the ventilation system or air cleaner installed in the home or company's room. In the proposed system, it is possible to check the immediate indoor environmental condition through the LED status display of the monitoring sensor module while reducing the cost of the sensor used to implement IoT technology.