• KNOM Review
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• v.23 no.1
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• pp.18-25
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• 2020

Recently, a research on a smart factory was developed from a concept of factory automation(FA) to the formation of collecting and analyzing data. This trend is accelerated as the development of communication technology(5G) and IoT devices are developed in various ways according to the field situation. In addition, digital transformation has been actively conducted in the strengthening corporate competitiveness, and various optimization studies are being conducted through process re-adjustment by combining data received from various IoT equipment and automated facilities. Therefore, in this paper, we propose a system architecture and its related components in diagnosing and repairing facility failure using a prediction system which is one of the related researches.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.6
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• pp.1449-1453
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• 2015

Constrained IoT devices cannot achieve full coverage of software attestation even though the integrity of software is critical. The limited modification attacks on control flow of software aim at the shadow area uncovered in software attestation processes. In this paper, we propose a light-weight protection system that detects modification by injecting markers to program code.

• Journal of Korea Multimedia Society
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• v.18 no.12
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• pp.1483-1491
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• 2015

Applications of Internet of Things (IoT) supply various conveniences, however unsolved security problems such as personal privacy, data manipulation cause harm to persons, even nations and an limit the applicable areas of Internet of IoT technology. Therefore, study about secure and efficient security system on IoT are required. This paper proposes ID-based remote user authentication scheme in IoT environments. Proposed scheme provides untraceability of users by using different pseudonym identities in every session and reduces the number of variables. Our proposal is secure against inside attack, smart card loss attack, user impersonation attack, server masquerading attack, online/offline password guessing attack, and so on. Therefore, this can be applied to the lightweight IoT environments.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.10a
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• pp.309-312
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• 2016

Green Internet of Things (IoT) is the study and practice of eco-friendly sustainable computing. The basic goal of green computing is to reduce the use of materials and maximize energy efficiency with reliable and secure communications. The paper presents various technologies and issues regarding green IoT. It also studies the green Information and Communication Technology (ICT) such as green M2M, green Cloud Computing (CC), and green Data Center (DC). In addition, this paper mentions about the reliability in IoT Communication and and issues to achieve green IoT communication by applying efficient activity scheduling technique for energy saving. Finally, we propose the green IoT-Home Service (GIHS) model which provides efficient energy management in home automation system.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.1025-1026
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• 2015

With the development of sensor, wireless mobile communication, embedded system and cloud computing, the technologies of Internet of Things have been widely used in real word. Connecting wireless sensor networks with traditional communication networks or Internet, IoT gateway plays an important role in IoT applications. It facilitates the integration of wireless sensor networks and mobile communication networks or Internet. The IoT gateway is a key component in IoT application systems. But It has lot of security issues. We analyzed the issues of security and privacy.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.10
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• pp.4177-4190
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• 2015

Current research on Internet of Things (IoT) has primarily addressed the means to enhancing smart resource allocation, automatic network operation, and secure service provisioning. In particular, providing satisfactory security service in IoT systems is indispensable to its mission critical applications. However, limited resources prevent full security coverage at all times. Therefore, these limited resources must be deployed intelligently by considering differences in priorities of targets that require security coverage. In this study, we have developed a new application of Cognitive Radio (CR) technology for IoT systems and provide an appropriate security solution that will enable IoT to be more affordable and applicable than it is currently. To resolve the security-related resource allocation problem, game theory is a suitable and effective tool. Based on the Blotto game model, we propose a new strategic power allocation scheme to ensure secure CR communications. A simulation shows that our proposed scheme can effectively respond to current system conditions and perform more effectively than other existing schemes in dynamically changeable IoT environments.

• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.4
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• pp.43-52
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• 2021

IoT applications are quickly spread in many fields. Blockchain methods(BC), defined as a distributed sharing mechanism, offer excellent support for IoT evolution. The BC provides a secure way for communication between IoT devices. However, the IoT environments are threatened by hacker attacks and malicious intrusions. The IoT applications security are faced with three challenges: intrusions and attacks detection, secure communication, and compressed storage information. This paper proposed a system based on double-blockchain to improve the communication transactions' safety and enhance the information compression method for the stored data. Information security is enhanced by using an Ellipse Curve Cryptography(ECC) considered in a double-blockchain case. The data compression is ensured by the Compressed Sensing(CS) method. The conducted experimentation reveals that the proposed method is more accurate in security and storage performance than previous related works.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.188-191
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• 2013

인간과 사물, 서비스 세 가지 분산된 환경 요소에 대해 인간의 명시적 개입 없이 상호 협력적으로 센싱, 네트워킹, 정보 처리 등 지능적 관계를 형성하는 사물 공간 연결망인 IoT(Internet of Things)에서 센싱된 정보를 처리하고 서비스하기 위한 환경을 적시적소에 배치(Depolyment) 하기 위하여 클라우드 서비스와의 연동방법에 대해 본 논문에서 연구하였다. Public Cloud환경에서 Hadoop Cluster를 구성하여 IoT 서비스에 적용할 수 있는 통합 환경을 구축하면 폭발적으로 증가하는 IoT 데이터를 저장하고 빠른 시간안에 이를 효과적으로 처리 및 분석하기 위한 시스템 구축이 가능하며 분산 저장소에 저장된 데이터를 분석하고 의미있는 지식을 발견하여 새로운 비즈니스 모델 창출에 기여할 수 있다. 본 논문에서 Public Cloud 환경에서 Hadoop Clouster를 구성하여 IoT에서 생성되는 데이터를 효과적으로 처리하고 분석할 수 있는 방법을 제안한다.

• IEMEK Journal of Embedded Systems and Applications
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• v.17 no.2
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• pp.93-100
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• 2022

In this paper, we propose a machine learning-based method for supporting resource management of IoT software platforms in a multi-modal sensing scenario. We assume that an IoT device installed with a oneM2M-compatible software platform is connected with various sensors such as PIR, sound, dust, ambient light, ultrasonic, accelerometer, through different embedded system interfaces such as general purpose input output (GPIO), I2C, SPI, USB. Based on a collected dataset including CPU usage and user-defined priority, a machine learning model is trained to estimate the level of nice value required to adjust according to the resource usage patterns. The proposed method is validated by comparing with a rule-based control strategy, showing its practical capability in a multi-modal sensing scenario of IoT devices.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.547-548
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• 2020

데이터의 양은 기술의 발전과 함께 크게 증가하였다. Hadoop은 빅데이터 분야에서 사용되는 대표적인 빅데이터 처리 플랫폼으로 IoT 분야에서도 사용된다. HDFS(Haddop Distributed File System)는 Hadoop의 코어 프로젝트로 블록 기반의 대용량 데이터 저장소다. 기존의 Hadoop 기반 IoT 센서 데이터 수집 환경은 HDFS를 사용한다. 그러나 HDFS의 Small File로 인한 네임노드의 과부하 문제와 한 번 Import된 데이터의 Update와 Delete를 지원하지 않는 Hadoop의 특징으로 인해 성능과 활용이 제한적이다. 본 논문에서는 기존 Hadoop 기반 IoT 센서 데이터 수집 환경의 단점을 극복하기 위해 Lambda 구조를 적용한 IoT 센서 데이터 수집 환경을 설계한다.