• Journal of the Korea Convergence Society
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• v.9 no.3
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• pp.1-14
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• 2018

The 4th Industrial Revolution has been rapidly changing the environment of all industries and the new technologies as included in the 4th Industrial Revolution has taken the lead in this change. Domestic SME need to change according to the 4th Industrial Revolution. Specially, it is necessary to introduce smart factories to the SME. Thus, this study suggests strategies for successful introduction of smart factories to SME through SWOT analysis about the situation of the SME. As strategies for utilizing its strengths, first, it is an activation through superior competitiveness. Second, the utilization of excellent technology and information is considered. Third, it is suggested to utilize global network-based environment. The strategies for making up for weakness are provided as follows. First, it is suggested to raise awareness of information security. Second, it is considered to establish technical standardization for the construction of evaluation system. Third, the promotion of manpower to secure professional manpower is suggested. The implication of this study is that it suggests the necessity of smart factory to understand and prepare for effective strategies for SME and various external strategies for the fourth industrial revolution.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.553-554
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• 2018

Supply Chain Management (SCM) is the overall process (component procurement, production planning, delivery, inventory control, etc.). It is the process from the supplier to the consumer until the raw material becomes the finished product. Basically, traditional supply chain management is primarily aimed at cost reduction and efficiency. However, considering only cost reduction and efficiency, it is not easy apply the center of 4th industry to Smart Factory. In this study, I propose a form of supply chain management network. It can be satisfy the security by using block chain and automatic control of each element by adding the internet of things.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.1
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• pp.23-28
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• 2018

In this work, we developed a platform that can monitor status and manage events of factory workplaces by providing events and data collected from various types of multi-touch technology based sensors installed in the workplace. By using the image recognition technology, faces of the people in the factory workplace are recognized and the customized contents for each worker are provided, and security of contents is enhanced by the authenticating an individual worker through face recognition. Contents control function through gesture recognition is constructed, so that workers can easily search documents. Also, it is possible to provide contents for workers by implementing face recognition function in mobile devices. The result of this work can be used to improve workplace safety, convenience of workers, contents security and can be utilized as a base technology for future smart factory construction.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.15 no.4
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• pp.257-270
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• 2022

In this paper, we design a smart factory risk improvement system and risk improvement method using AI edge devices. The smart factory risk improvement system collects, analyzes, prevents, and promptly responds to the worker's work performance process in the smart factory using AI edge devices, and can reduce the risk that may occur during work with improving the defect rate when workers perfom jobs. In particular, based on worker image information, worker biometric information, equipment operation information, and quality information of manufactured products, it is possible to set an abnormal risk condition, and it is possible to improve the risk so that the work is efficient and for the accurate performance. In addition, all data collected from cameras and IoT sensors inside the smart factory are processed by the AI edge device instead of all data being sent to the cloud, and only necessary data can be transmitted to the cloud, so the processing speed is fast and it has the advantage that security problems are low. Additionally, the use of AI edge devices has the advantage of reducing of data communication costs and the costs of data transmission bandwidth acquisition due to decrease of the amount of data transmission to the cloud.

• Journal of the Korean Society of Systems Engineering
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• v.15 no.1
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• pp.34-42
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• 2019

Receiving great attention of IoT and 4th industrial revolution, the necessity comes to the fore of the plant system which aims making it smart and effective. Smart Factory is the key realm of IoT to apply with the concept to optimize the entire process and it presents a new and flexible production paradigm based on the collected data from numerous sensors installed in a plant. Especially, the wireless sensor network technology is receiving attention as the key technology of Smart Factory, researches to interface those technology is actively in progress. In addition, IoT devices for plant industry security and high reliable network protocols are under development to cope with high-risk plant facilities. In the meanwhile, Blockchain can support high security and reliability because of the hash and hash algorithm in its core structure and transaction as well as the shared ledger among all nodes and immutability of data. With the reason, this research presents Blockchain as a method to preserve security and reliability of the wireless communication technology. In regard to that, it establishes some of key concepts of the possibility on the blockchain based IoT Edge devices for Plant O&M (Operations and Maintenance), and fulfills performance verification with test devices to present key indicator data such as transaction elapsed time and CPU consumption rate.

• Journal of Information Processing Systems
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• v.15 no.4
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• pp.717-723
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• 2019

Smart systems and services aim to facilitate growing urban populations and their prospects of virtual-real social behaviors, gig economies, factory automation, knowledge-based workforce, integrated societies, modern living, among many more. To satisfy these objectives, smart systems and services must comprises of a complex set of features such as security, ease of use and user friendliness, manageability, scalability, adaptivity, intelligent behavior, and personalization. Recently, artificial intelligence (AI) is realized as a data-driven technology to provide an efficient knowledge representation, semantic modeling, and can support a cognitive behavior aspect of the system. In this paper, an integration of AI with the smart systems and services is presented to mitigate the existing challenges. Several novel researches work in terms of frameworks, architectures, paradigms, and algorithms are discussed to provide possible solutions against the existing challenges in the AI-based smart systems and services. Such novel research works involve efficient shape image retrieval, speech signal processing, dynamic thermal rating, advanced persistent threat tactics, user authentication, and so on.

• 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 and Communication Engineering
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• v.22 no.12
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• pp.1705-1713
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• 2018

It is currently undergoing the fourth industrial revolution, which is the convergence of ICT and manufacturing, connecting both industrial equipment and production processes to one network and communicating with each other. The fact that they are connected to one network has the advantage of management, but there is a risk of security. In particular, Wi-Fi can be easily accessed by outsiders through a software change of the MAC address or password exposures. In this paper, by applying the method of Beacon using a Bluetooth Low Energy Add in Bluetooth 4.0, we propose a system of black-box approach to secure connections to wireless Internet, users do not have to know the password. We also implemented the proposed system using the raspberry pi and verified the effectiveness of a real-time system by testing the communication.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.284-287
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• 2021

4차 산업혁명으로 인해 제조산업에 인공지능, 빅데이터와 같은 ICT 기술을 활용한 스마트팩토리의 제조 공정 자동화 및 장치 고도화 연구가 진행되고 있다. 제조 공정 자동화를 위해 스마트팩토리의 각 계층별 장치들이 유기적으로 연결되고 있으며, 이로 인해 발생 가능한 보안위협도 증가하고 있다. 스마트팩토리에서는 SIEM 등의 장비가 보안위협 데이터를 수집·분석·시각화하여 대응하고 있다. 보안위협 데이터 시각화에는 그리드 뷰, 피벗 뷰, 그래프, 차트, 테이블을 활용한 대시보드 형태로 제공하고 있지만, 이는 스마트팩토리 전 계층의 보안위협 데이터 확인에 대한 가시성이 부족하다. 따라서, 본 논문에서는 스마트팩토리 보안위협 데이터를 CVSS 점수 기반의 Likelihood와 보안위협 데이터 기반의 Impact를 활용하여 위험도를 도출하고, 히트맵 기반 스마트팩토리 보안위협 데이터 시각화 모델을 제안한다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.3
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• pp.153-161
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• 2020

Due to the recent development of the 4th industrial revolution, Smart Factories that organically link various technologies such as AI, IoT, Cloud, and Big Data are increasing. Based on this, in the industrial environment where the internal process is controlled automatically, high availability should be secured against the loss caused when the internal process of the Smart Factory is stopped due to the determinism and malicious attack necessary to control the device such as PLC. The research and analysis of industrial network equipment and security equipment used in various industries can improve the efficiency and usability of industrial control systems in national infrastructure and can provide important feedback to build related infrastructure. Therefore, we compared industrial network equipment and security equipment in this paper in a variety of ways and expect to be used as a roadmap for developing technologies for industrial network equipment and industrial security equipment based on the results of this paper.