• Journal of the Korea Institute of Information Security & Cryptology
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• v.23 no.6
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• pp.1169-1180
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• 2013

Emulab is a research framework developed by Utah university, proving on-demend research environment service so that researchers can set up and use the environment at anytime. The main advantage of Emulab over other research methodologies like simulation or virtualization is to use real systems and networks using real operating systems, making the research environment much similar to the real world. Even though Emulab has been actively used in many areas such as security and network, there has been little use in Korea research community. As KISTI recently constructed a small Emulab, it is expected that many researchers and educators would make use of the Emulab. In this study, we introduce Emulab to Korea research community and give an overview of utilization trend of Emulab as a cyber security research framework.

• Journal of the Institute of Electronics and Information Engineers
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• v.52 no.11
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• pp.79-84
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• 2015

Steganography is to conceal the existence of secrete data itself. The Emulab is a framework to provide real systems and network topology that can set up at anytime by researchers. In this paper, we show that steganography techniques can be applied in the Emulab environment. Steganography methods are evaluated on a standalone and sharing environments using the color bitmap images. The cover image is divided into RGB channels and then embedded the secret data at each client. The experimental results demonstrate that execution time is better in client/server environment as cover image size is increasing.

• Journal of information and communication convergence engineering
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• v.16 no.4
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• pp.235-241
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• 2018

Recently, deep learning has been actively studied and applied in various fields even to novel writing and painting in ways we could not imagine before. A key feature is that high-performance computing device, especially CUDA-enabled GPU, supports this trend. Researchers who have difficulty accessing such systems fall behind in this fast-changing trend. In this study, we propose and implement a library called Emulearner that helps users to utilize Emulab with ease. Emulab is a research framework equipped with up to thousands of nodes developed by the University of Utah. To use Emulab nodes for deep learning requires a lot of human interactions, however. To solve this problem, Emulearner completely automates operations from authentication of Emulab log-in, node creation, configuration of deep learning to training. By installing Emulearner with a legitimate Emulab account, users can focus on their research on deep learning without hassle.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.1
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• pp.117-124
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• 2016

Virtual environment is widely used for analyzing malware which is increasing very rapidly. However, knowing this trend, hackers are adopting virtual environment detection techniques for malware to kill itself or stop malicious behaviors when detecting virtual environments. Various research is going on in order to thwart any efforts to utilize anti-virtualization techniques, but until now several techniques can evade most of well known virtual environments, making malware analysis very difficult. Emulab developed by Utah University assigns real systems and networks as researchers want in realtime. This research seeks how to use Emulab for malware analysis.

• Journal of the Korea Convergence Society
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• v.9 no.9
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• pp.61-67
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• 2018

Emulab software was developed by the team of University of Utah and it has been replicated at dozens of other sites in the world. Although KREONET Emulab, which established by the Korea Institute of Science and Technology Information, has only a modest number of compute nodes it has been provided an ideal playground to conduct various research for network protocols, cyber security and convergence research. A testbed is a critical enabler of experimental research and researchers only carry out the experiments that are supported by the testbed. This paper outlines the Utah Emulab's status and use types among the last 10 years of operation results and compares them with the ones with the KREONET Emulab. In addition, Testbed-as-a-Service(TaaS) is discussed to upgrade the testbed for the convergence research community services.

• Proceedings of the Korea Contents Association Conference
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• 2014.06a
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• pp.213-214
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• 2014

• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.183-186
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• 2014

공공 및 민간 영역에 CCTV 사이트가 널리 설치되어 운영되고 있다. CCTV 사이트의 서비스 중단과 유지보수 인력의 현장 출동을 최소화하기 위하여 지능형 전원분배 장치를 이용한 통합관리가 요구된다. 본 논문에서는 CCTV 사이트를 위한 통합관리의 주요 기능을 정리하였으며, 통합관리시스템(CT4CS: Control Tower for CCTV Sites)의 주요 기능들에 대하여 KISTI의 Emulab을 이용하여 성능분석을 수행하였다. 쓰레드 구현 구조에 따른 메시지 처리율, 실패확률 및 쓰레드 개수에 따른 장비들의 연결성 검사시간의 성능분석 결과를 이용하여 대규모 CCTV 사이트의 통합관리를 위한 효과적인 CT4CS를 설계 및 구현하였다.