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Highly Secure Mobile Devices Assisted with Trusted Cloud Computing Environments
오도환,김균수,노원우,김일규,이상민 한국전자통신연구원 2015 ETRI Journal Vol.37 No.2
Mobile devices have been widespread and become very popular with connectivity to the Internet, and a lot of desktop PC applications are now aggressively ported to them. Unfortunately, mobile devices are often vulnerable to malicious attacks due to their common usage and connectivity to the Internet. Therefore, the demands on the development of mobile security systems increase in accordance with advances in mobile computing. However, it is very hard to run a security program on a mobile device all of the time due the device’s limited computational power and battery life. To overcome these problems, we propose a novel mobile security scheme that migrates heavy computations on mobile devices to cloud servers. An efficient data transmission scheme for reducing data traffic between devices and servers over networks is introduced. We have evaluated the proposed scheme with a mobile device in a cloud environment, whereby it achieved a maximum speedup of 13.4 compared to a traditional algorithm.
오도환(Do Hwan Oh),박재형(Jae Hyung Park) 한국스마트미디어학회 2021 스마트미디어저널 Vol.10 No.2
AMI(Advanced Metering Infrastructure)의 구축 확대로 인해 계량데이터의 수집을 위한 원격검침서비스 이외에도 계량데이터를 이용한 수요관리, 에너지쉼표 등 다양한 융복합 서비스들이 늘어나고 있는 추세이다. 이러한 서비스를 안정적으로 운영하기 위해서는 계량데이터의 효율적 관리가 필수적이다. 본 논문에서는 중복데이터 제거를 통해 AMI의 시스템별 구축목적에 따라 계량데이터를 처리하는 효율성을 분석하고자 한다. Due to widespread construction of AMI(Advanced Metering Infrastructure), various service tends to increase, which are not only remote metering service collection measuring data but also demand management and energy saving using measuring data. In order to support a stable management of such services, it is necessary for measuring data to be processed efficiently. In this paper, we analyze a performance of measured data processing efficiency using duplicated data removal according to AMI construction purpose on real environments.