• Journal of the Korea Society of Computer and Information
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• v.26 no.12
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• pp.151-158
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• 2021

Internet of Things (IoT) technology, which provides services by connecting various objects in the real world and objects in the virtual world based on the Internet, is emerging as a technology that enables a hyper-connected society in the era of the 4th industrial revolution. Since IoT technology is a convergence technology that encompasses devices, networks, platforms, and services, various studies are being conducted. Among these studies, studies on measures that can measure service quality provided by IoT software are still insufficient. IoT software has hardware parts of the Internet of Things, technologies based on them, features of embedded software, and network features. These features are used as elements defining IoT software quality measurement metrics. However, these features are considered in the metrics related to IoT software quality measurement so far. Therefore, this paper presents a metric for reusability measurement among various quality factors of IoT software in consideration of these factors. In particular, since IoT software is used through IoT devices, services in IoT software must be designed to be changed, replaced, or expanded, and metrics that can measure this are very necessary. In this paper, we propose three metrics: changeability, replaceability, and scalability that can measure and evaluate the reusability of IoT software services were presented, and the metrics presented through case studies were verified. It is expected that the service quality verification of IoT software will be carried out through the metrics presented in this paper, thereby contributing to the improvement of users' service satisfaction.

• IEMEK Journal of Embedded Systems and Applications
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• v.12 no.6
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• pp.369-375
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• 2017

In this paper, we present a self-adaptive software platform that enables an IoT gateway to perform autonomous operation considering IoT devices connected each other in resource-constrained environments. Based on the oneM2M device software platform publicly available, we have designed an additional part, called SAS (self-adaptive software) consisting of MAM (memory-aware module), NAM (network-aware module), BAM (battery-aware module), DAM (data-aware module), and DH (decision handler). A prototype system is implemented to show the feasibility of the proposed self-adaptive software architecture. Our proposed system demonstrates that it can adaptively adjust the operation of gateway and connected devices to their resource conditions under the desired service scenarios.

• IEMEK Journal of Embedded Systems and Applications
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• v.14 no.2
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• pp.103-111
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• 2019

The IoT-driven large-scaled systems consist of connected things with on-chip executable embedded software. These light-weighted embedded things have limited hardware space, especially small size of on-chip flash memory. In addition, on-chip embedded software in flash memory is not easy to update in runtime to equip with latest services in IoT-driven applications. It is becoming important to develop light-weighted IoT devices with various software in the limited on-chip flash memory. The remote instruction execution in cloud via IoT connectivity enables to provide high performance software execution with unlimited software instruction in cloud and low-power streaming of instruction execution in IoT edge devices. In this paper, we propose a Cloud-IoT asymmetric structure for providing high performance instruction execution in cloud, still low power code executable thing in light-weighted IoT edge environment using remote instruction execution. We propose a simulated approach to determine efficient partitioning of software runtime in cloud and IoT edge. We evaluated the instruction cloudification using remote instruction by determining the execution time by the proposed structure. The cloud-connected instruction set simulator is newly introduced to emulate the behavior of the processor. Experimental results of the cloud-IoT connected software execution using remote instruction showed the feasibility of cloudification of on-chip code flash memory. The simulation environment for cloud-connected code execution successfully emulates architectural operations of on-chip flash memory in cloud so that the various software services in IoT can be accelerated and performed in low-power by cloudification of remote instruction execution. The execution time of the program is reduced by 50% and the memory space is reduced by 24% when the cloud-connected code execution is used.

• Convergence Security Journal
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• v.15 no.4
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• pp.11-18
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• 2015

The new environments arrive such as ICT convergence, cloud computing, and big data, etc., how to take advanta ge of the existing software engineering technologies has become an important key. In addition, the importance of re quirement analysis for secure software and design phase has been shown in the IoT environment While the existing studies have focused on the utilization of the technique applied to IoT environment, the studies for enhancing analys is and design, the prerequisite steps for safely appling these techniques to the site, have been insufficient. So, we tr y to organize research trends based on software engineering and analyze their relationship in this paper. In detail, w e classify the research trends of software engineering to perform research trends meta-analysis, and analyze an ann ual development by years. The flow of the major research is identified by analyzing the correlation of the key word s. We propose the strategies for enhancing the utilization of software engineering techniques to develop high-quality software in the IoT environment.

• 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.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.2
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• pp.77-82
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• 2020

IoT devices frequently require input resources to communicate with various sensors or IoT platforms. IoT device wastes a lot of time as idle time or waiting time to check the data of the input resource and use the input resource. In addition, IoT devices use various input resources. We compares and analyzes input idle time and input waiting time generated from hardware serial input resource, software serial input resource, digital port input resource, and analog port input resource using Arduino widely used as IoT device. In order to design the IoT device framework, it is necessary to understand the characteristics of input resources and to design them to minimize unnecessary input idle time and input waiting time. The analog input wait time has a much larger input wait time than the digital input wait time, so it must be designed to receive analog information periodically at the appropriate timing. The characteristics of the input resources analyzed in this way help to design an efficient IoT device.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.04a
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• pp.994-996
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• 2016

글로벌 비즈니스 시장에서 IoT 산업은 급속도로 성장하고 있고 IoT에 대한 많은 연구가 진행되고 잇다. 그 중에서 스마트 홈 IoT 시스템이 대표적이며 이를 상용화하여 서비스를 제공하는 업체도 증가하고 있다. 홈 내부에 여러 IoT 장치와 센서들을 설치하고, 해당 장치와 센서에서 지속적으로 데이터가 생성되고 생성된 데이터를 저장하여 사용자에게 새로운 정보를 제공할 수 있다. 특히, 홈 내부에 설치된 여러 센서들의 데이터를 이용하여 현재 홈 내부 상황을 추론하여 집안 내부의 상황을 사용자에게 알려줄 수 있다. 본 논문에서는 스마트 홈 IoT 데이터를 베이지안 네트워크를 이용해 집안 내부의 쾌적 상황을 추론하여 사용자에게 정보를 제공하고 상황에 따른 행동을 할 수 있도록 정보를 제공하는 방법에 대한 연구의 결과에 대하여 소개한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.265-266
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• 2020

본 논문에서는 IoT 기술을 이용한 재난 안전 모니터링 시스템을 제안한다. 기술의 발전으로 개인 통신 기기에도 IoT가 범용적으로 사용되고 있으나 재난 안전 모니터링 시스템과의 접목은 쉽지 않다. 본 논문에서는 IoT 기술 기반 재난 안전 모니터링 시스템을 개인 통신 기기에 접목 시키기 위해 카카오톡 플랫폼을 이용한다. 재난 안전 모니터링 시스템은 평시에 IoT 센서로 온도, 강우량, 진동 및 미세먼지를 모니터링하여 정보를 제공한다. 만약 화재, 폭우, 지진 등의 자연 재난 등이 발생하면 메신저 플랫폼인 카카오톡을 통하여 재난정보를 재난 초기에 제공함으로써 피해를 최소화 하는 것을 목표로 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.914-917
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• 2021

IoT 기기는 취약한 아이디와 비밀번호 사용, 저사양 하드웨어 등 보안 취약점으로 인해 사이버 공격 진입점으로 이용되고 있다. 본 논문은 IoT 악성코드를 탐지하기 위한 op 코드 카테고리 기반 특징 표현을 제안한다. Op 코드의 기능별 분류 정보를 이용해서 n-gram 특징과 엔트로피 히스토그램 특징을 추출하고 IoT 악성코드 탐지를 위한 기계학습 모델 평가를 수행한다. IoT 악성코드는 기능 개선과 추가를 통해 진화하였으나 기계학습 모델은 훈련 데이터에 포함되지 않은 진화된 IoT 악성 코드에 대한 예측 성능이 우수하였다. 또한 특징 시각화를 이용해서 악성코드의 비교 탐지가 가능하다.

• The Journal of the Convergence on Culture Technology
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• v.8 no.2
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• pp.355-360
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• 2022

In this paper, we present design and developing method for EMS(environment monitoring system) of micro data center. This developing EMS monitors operating environment of micro data center and analyze sensing data through IoT(Internet of things) sensors in real time. Firstly we present configuration method of IoT sensing package and design method EMS hardware platform. Secondly we design data collector software for data collection of IoT sensor with different protocol and develop monitoring software of EMS. The data collector software consists of sensor collector module and collector manager module. Also we design EMS software which has micro service architecture structural style and component based business logic.