• International Journal of Computer Science & Network Security
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• 제21권9호
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• pp.41-50
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• 2021

Cloud computing is one of the most expanding technologies nowadays; it offers many benefits that make it more cost-effective and more reliable in the business. This paper highlights the various benefits of cloud computing and discusses different cryptography algorithms being used to secure communications in cloud computing environments. Moreover, this thesis aims to propose some improvements to enhance the security and safety of cloud computing technologies.

• Journal of information and communication convergence engineering
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• 제18권3호
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• pp.183-187
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• 2020

The general Wi-Fi network connection structure is that a number of IoT (Internet of Things) sensor nodes are directly connected to one AP (Access Point) node. In this structure, the range of the network that can be established within the specified specifications such as the range of signal strength (RSSI) to which the AP node can connect and the maximum connection capacity is limited. To overcome these limitations, multiple middleware bridge technologies for dynamic scalability and load balancing were studied. However, these network expansion technologies have difficulties in terms of the rules and conditions of AP nodes installed during the initial network deployment phase In this paper, an intelligent edge computing IoT device is developed for constructing an intelligent autonomous cluster edge computing network and applying it to real-time road danger context aware and notification system through an intelligent risk situation recognition algorithm.

• International Journal of Computer Science & Network Security
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• 제22권2호
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• pp.290-296
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• 2022

Big Data is a data analysis technology empowered by late advances in innovations and engineering. In any case, big data involves a colossal responsibility of equipment and handling assets, making reception expenses of big data innovation restrictive to little and medium estimated organizations. Cloud computing offers the guarantee of big data execution to little and medium measured organizations. Big Data preparing is performed through a programming worldview known as MapReduce. Normally, execution of the MapReduce worldview requires organized joined stockpiling and equal preparing. The computing needs of MapReduce writing computer programs are frequently past what little and medium measured business can submit. Cloud computing is on-request network admittance to computing assets, given by an external element. Normal arrangement models for cloud computing incorporate platform as a service (PaaS), software as a service (SaaS), framework as a service (IaaS), and equipment as a service (HaaS).

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권6호
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• pp.2711-2733
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• 2018

Minimizing power consumption in bandwidth limited optical traffic grooming networks is presented as a two-objective optimization problem. Since the main objective is to route a connection, the network throughput is maximized first, and then the minimum power consumption solution is found for this maximized throughput. Both transparent IP over WDM (Tp-IPoWDM) and translucent IP over WDM (Tl-IPoWDM) network may be applied to examine such bi-objective algorithms. Simulations show that the bi-objective algorithms are more energy-efficient than the single objective algorithms where only the throughput is optimized. For a Tp-IPoWDM network, both link based ILP (LB-ILP) and path based ILP (PB-ILP) methods are formulated and solved. Simulation results show that PB-ILP can save more power than LB-ILP because PB-ILP has more path selections when lightpath lengths are limited. For a Tl-IPoWDM network, only PB-ILP is formulated and we show that the Tl-IPoWDM network consumes less energy than the Tp-IPoWDM network, especially under a sparse network topology. For both kinds of networks, it is shown that network energy efficiency can be improved by over-provisioning wavelengths, which gives the network more path choices.

• 한국항행학회논문지
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• 제21권2호
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• pp.206-211
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• 2017

최근 컴퓨팅 기기를 하나의 네트워크로 연결하여, 극대화한 차세대 디지털 신경망서비스를 제공하는 그리드 컴퓨팅은 PC나 서버, PDA 등 모든 컴퓨터를 네트워크로 연결해 하나의 거대한 가상 컴퓨터를 만든다는 것이다. 따라서 기상업무 분야에 적용될 그리드 컴퓨팅 구현 모델을 다음과 같이 제안한다. 첫째, 그리드 컴퓨팅을 이용하게 될 대상 작업은 중규모 이하의 수치 모델 개발 또는 테스트 운영에 필요한 작업들과 기상용 슈퍼컴퓨터의 최종 백업이다. 둘째, 그리드 컴퓨팅을 구성하게 될 자원은 운영 효율을 고려하여 본청에서 운영 중인 업무용 PC와 리눅스 서버들로 한정한다. 셋째, 네트워크는 LAN 구간으로 제한하는 것으로 고성능 컴퓨팅을 구현하는 방안을 제시하였다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 컴퓨터소사이어티 추계학술대회논문집
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• pp.61-64
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• 2003

Technological progress in integrated, low-power, CMOS communication devices and sensors makes a rich design space of networked sensors viable. These sensors can be deeply embedded in the physical world and spread throughout sensor network environment like smart dust. So ubiquitous computing will be come true. SmartDust project is the one of ubiquitous computing approach. It produces TinyOS, mote(mica, mica2, rene2, mica2dot, etc.), NesC, TinyDB, etc. We constructs sensor network test bed and tests to approach sensor network and ubiquitous computing.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권12호
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• pp.5669-5684
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• 2018

The new mobile edge network architecture has been required for an increasing amount of traffic, quality requirements, advanced driver assistance system for autonomous driving and new cloud computing demands on highway. This article proposes a hierarchical cloud computing architecture to enhance performance by using adaptive data load distribution for buses that play the role of edge computing server. A vehicular dynamic cloud is based on wireless architecture including Wireless Local Area Network and Long Term Evolution Advanced communication is used for data transmission between moving buses and cars. The main advantages of the proposed architecture include both a reduction of data loading for top layer cloud server and effective data distribution on traffic jam highway where moving vehicles require video on demand (VOD) services from server. Through the description of real environment based on NS-2 network simulation, we conducted experiments to validate the proposed new architecture. Moreover, we show the feasibility and effectiveness for the connected car media service on highway.

• 대한임베디드공학회논문지
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• 제17권2호
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• pp.77-83
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• 2022

In this paper, the two-stage object detection approach is proposed to implement a deep learning-based label inspection system on edge computing environments. Since the label printed on the products during the production process contains important information related to the product, it is significantly to check the label information is correct. The proposed system uses the lightweight deep learning model that able to employ in the low-performance edge computing devices, and the two-stage object detection approach is applied to compensate for the low accuracy relatively. The proposed Two-Stage object detection approach consists of two object detection networks, Label Area Detection Network and Character Detection Network. Label Area Detection Network finds the label area in the product image, and Character Detection Network detects the words in the label area. Using this approach, we can detect characters precise even with a lightweight deep learning models. The SF-YOLO model applied in the proposed system is the YOLO-based lightweight object detection network designed for edge computing devices. This model showed up to 2 times faster processing time and a considerable improvement in accuracy, compared to other YOLO-based lightweight models such as YOLOv3-tiny and YOLOv4-tiny. Also since the amount of computation is low, it can be easily applied in edge computing environments.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2016년도 춘계학술대회
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• pp.348-351
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• 2016

최근 IoT 환경에서 많은 디바이스들의 등장과 더불어 특정 사용자만 접근 가능한 보호된 네트워크가 필요하게 되었다. IoT 네트워크 환경에 OAuth 프로토콜을 적용하여 인증하게 되면 보다 쉽게 네트워크 인증 체계를 구축할 수 있으나 OAuth는 공격자가 Token을 가로채게 되면 쉽게 공격에 노출되는 단점이 있어 2차 인증이 필수적이라고 할 수 있다. 궁극적인 IoT는 Fog Computing이 필수적이다. Fog Computing은 Cloud를 확장시켜 network Core에서 뿐만 아니라 Edge에서도 Computing이 가능하게 하고, node간의 통신을 가능하게 하는 플랫폼이다. Fog Computing의 장점으로는 Location awareness나 Support for mobility 등을 들 수 있다. Fog Computing내에서 사용할 인증이 이런 Fog Computing의 장점을 살린다면, 더 IoT에 걸맞은 인증을 할 수 있을 것이다. 이에 2차 인증에 기존의 인증서나 id/password, 또는 group key같은 번거로운 것을 이용하지 않고 Cyber-Physical-Social System을 사용한다면 user의 편리성을 더 증가시킬 수 있을 것이다. 본 연구에서는 Cyber-Physical-Social System기반의 인증에 관한 연구를 진행하려 한다.

• International Journal of Computer Science & Network Security
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• 제23권4호
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• pp.25-31
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• 2023

Fog computing diversifies cloud computing by using edge devices to provide computing, data storage, communication, management, and control services. As it has a decentralised infrastructure that is capable of amalgamating with cloud computing as well as providing real-time data analysis, it is an emerging method of using multidisciplinary domains for a variety of applications; such as the IoT, Big Data, and smart cities. This present study provides an overview of the security and privacy concerns of fog computing. It also examines its fundamentals and architecture as well as the current trends, challenges, and potential methods of overcoming issues in fog computing.