• Title/Summary/Keyword: cloud loss

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A new password authentication scheme using two-way password in Smartphone Banking (이중 패스워드 방식을 이용한 스마트폰 뱅킹 관리)

  • Song, Jong-Gun;Kim, Tae-Yong;Lee, Hoon-Jae;Jang, Won-Tae
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.12 no.3
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    • pp.195-200
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    • 2012
  • Smart Phone devices offer convenience for users, but present a new set of security issues due to loss or malicious code. In this paper, a mobile cloud system environment is used with existing smart phones in an attempt to solve the problems in a banking environment. In order to prevent financial damages due to loss or personal information leakage by malicious code, a mobile cloud computing service that provides control and protection of personal information in environment that ensures individual authentication is used. Existing ID / Password with certificate, with the way smart phone dual password authentication scheme using the gyro sensors proposed.

Loss Compression and Loss Correction Technique of 3D Point Cloud Data (3차원 데이터의 손실압축과 손실보정기법 연구)

  • Shin, Kwang-seong;Shin, Seong-yoon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.351-352
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    • 2021
  • Due to the recent rapid change in the social environment due to Corona 19, the need for non-face-to-face/contact-based information exchange technology is rapidly emerging. Due to these changes, the development of an alternative system using a sense of immersion and a sense of presence is urgently required. In this study, in order to implement a video conferencing system, we implemented a technology for transmitting large-capacity 3D data in real time without delay. For this, the applied algorithm of GAN, the latest deep learning algorithm of the unsupervised learning series, was used.

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Link Availability of Satellite-to-ground Free-space Optical Communication Systems in South Korea (우리나라 위성-지상 하향 무선 광통신 시스템의 링크 가용성)

  • Kim, Gyuwan;Kim, Daeho;Vuong, V. Mai;Kim, Hoon
    • Korean Journal of Optics and Photonics
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    • v.33 no.3
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    • pp.113-121
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    • 2022
  • We analyze the link availability of satellite-to-ground free-space optical (FSO) communication systems in South Korea. Using ten-year meteorological data for five major cities (Seoul, Busan, Daegu, Daejeon, and Gwangju), we theoretically predict the link availability from the power losses induced by absorption, scattering, aerosols, and scintillation in the atmospheric channel. For accurate but conservative estimation of the link availability determined by cloud cover, we propose a loss model based on the maximum value of cloud droplet concentration. The results show that the link availability ranges from 45% to 70% when a single ground station is placed in a major city in South Korea and a 20-dB link budget is allocated for atmospheric loss. However, the availabilities improve to 90% and 97% when 3- and 5-site diversities are employed, respectively.

Secure and Efficient Client-side Deduplication for Cloud Storage (안전하고 효율적인 클라이언트 사이드 중복 제거 기술)

  • Park, Kyungsu;Eom, Ji Eun;Park, Jeongsu;Lee, Dong Hoon
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.25 no.1
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    • pp.83-94
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    • 2015
  • Deduplication, which is a technique of eliminating redundant data by storing only a single copy of each data, provides clients and a cloud server with efficiency for managing stored data. Since the data is saved in untrusted public cloud server, however, both invasion of data privacy and data loss can be occurred. Over recent years, although many studies have been proposed secure deduplication schemes, there still remains both the security problems causing serious damages and inefficiency. In this paper, we propose secure and efficient client-side deduplication with Key-server based on Bellare et. al's scheme and challenge-response method. Furthermore, we point out potential risks of client-side deduplication and show that our scheme is secure against various attacks and provides high efficiency for uploading big size of data.

Development of Cell Guide Quality Management System for Container Ships (컨테이너 선박의 셀 가이드 정도 관리 시스템 개발)

  • Park, Bong-Rae;Kim, Hyun-Cheol
    • Journal of Ocean Engineering and Technology
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    • v.32 no.3
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    • pp.158-165
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    • 2018
  • Generally, container ships contain cargo holds with cell guides that serve to increase the container loading and unloading efficiency, minimize the space loss, and fix containers during the voyage. This paper describes a new quality management system for the cell guides of container ships (the so-called Trim Cell Guide system). The main functions of this system are the trimming of the point cloud obtained using a 3D scanner and an inspection simulation for cell guide quality. In other words, the raw point cloud of cell guides after construction is measured using a 3D scanner. Here, the raw point cloud contains a lot of noise and unnecessary information. Using the GUI interface supported by the system, the raw point cloud can be trimmed. The trimmed point cloud is used in a simulation for cell guide quality inspection. The RANSAC (Random Sample Consensus) algorithm is used for the transverse section representation of a cell guide at a certain height and applied for the calculation of the intervals between the cell guides and container. When the container hits the cell guides during the inspection simulation, the container is rotated horizontally and checked again for a possible collision. It focuses on a system that can be simulated with the same inspection process as in a shipyard. For a practicality review, we compared the precision data gained from an inspection simulation with the measured data. As a result, it was confirmed that these values were within approximately ${\pm}2mm$.

Data Access Frequency based Data Replication Method using Erasure Codes in Cloud Storage System (클라우드 스토리지 시스템에서 데이터 접근빈도와 Erasure Codes를 이용한 데이터 복제 기법)

  • Kim, Ju-Kyeong;Kim, Deok-Hwan
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.2
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    • pp.85-91
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    • 2014
  • Cloud storage system uses a distributed file system for storing and managing data. Traditional distributed file system makes a triplication of data in order to restore data loss in disk failure. However, enforcing data replication method increases storage utilization and causes extra I/O operations during replication process. In this paper, we propose a data replication method using erasure codes in cloud storage system to improve storage space efficiency and I/O performance. In particular, according to data access frequency, the proposed method can reduce the number of data replications but using erasure codes can keep the same data recovery performance. Experimental results show that proposed method improves performance in storage efficiency 40%, read throughput 11%, write throughput 10% better than HDFS does.

A Study on ACAS for Enhanced Security in Cloud Virtualization Internal Environment (ACAS를 통한 클라우드 가상화 내부 환경 보안성 강화 연구)

  • Park, Tae-Sung;Choi, Do-Hyeon;Do, Kyoung-Hwa;Jun, Moon-Seog
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.22 no.6
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    • pp.1355-1362
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    • 2012
  • As the utilization of cloud computing service rapidly increases to meet demands for various forms of service recently, the virtualization technology has made a rapid rise, further leading to some issues related to security, such as safety and reliability. As a system to provide environments what multiple virtual operating systems can be loaded, hypervisors may be a target of various attacks, such as control loss and authority seizure, since all the agents fcan be damaged by a malicious access to the virtualization layer. Therefore, this paper was conducted to investigate the access control for agents and suggest a plan to control malicious accesses to the cloud virtualization internal environment. The suggested technique was verified not to have effect on the performance of the system and environment through an analysis of its performance.

Asymmetric data storage management scheme to ensure the safety of big data in multi-cloud environments based on deep learning (딥러닝 기반의 다중 클라우드 환경에서 빅 데이터의 안전성을 보장하기 위한 비대칭 데이터 저장 관리 기법)

  • Jeong, Yoon-Su
    • Journal of Digital Convergence
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    • v.19 no.3
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    • pp.211-216
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    • 2021
  • Information from various heterogeneous devices is steadily increasing in distributed cloud environments. This is because high-speed network speeds and high-capacity multimedia data are being used. However, research is still underway on how to minimize information errors in big data sent and received by heterogeneous devices. In this paper, we propose a deep learning-based asymmetric storage management technique for minimizing bandwidth and data errors in networks generated by information sent and received in cloud environments. The proposed technique applies deep learning techniques to optimize the load balance after asymmetric hash of the big data information generated by each device. The proposed technique is characterized by allowing errors in big data collected from each device, while also ensuring the connectivity of big data by grouping big data into groups of clusters of dogs. In particular, the proposed technique minimizes information errors when storing and managing big data asymmetrically because it used a loss function that extracted similar values between big data as seeds.

Object Detection-Based Cloud System: Efficient Disease Monitoring with Database (객체 검출 기반 클라우드 시스템 : 데이터베이스를 통한 효율적인 병해 모니터링)

  • Jongwook Si;Junyoung Kim;Sungyoung Kim
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.16 no.4
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    • pp.210-219
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    • 2023
  • The decline in the rural populace and an aging workforce have led to fatalities due to worsening environments and hazards within vinyl greenhouses. Therefore, it is necessary to automate crop cultivation and disease detection system in greenhouses to prevent labor loss. In this paper, an object detection-based model is used to detect diseased crop in greenhouses. In addition, the system proposed configures the environment of the artificial intelligence model in the cloud to ensure stability. The system captures images taken inside the vinyl greenhouse and stores them in a database, and then downloads the images to the cloud to perform inference based on Yolo-v4 for detection, generating JSON files for the results. Analyze this file and send it to the database for storage. From the experimental results, it was confirmed that disease detection through object detection showed high performance in real environments like vinyl greenhouses. It was also verified that efficient monitoring is possible through the database

Efficient Virtual Machine Migration for Mobile Cloud Using PMIPv6 (모바일 클라우드 환경에서 PMIPv6를 이용한 효율적인 가상머신 마이그레이션)

  • Lee, Tae-Hee;Na, Sang-Ho;Lee, Seung-Jin;Kim, Myeong-Eeob;Huh, Eui-Nam
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.37B no.9
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    • pp.806-813
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    • 2012
  • In a cloud computing environment, various solutions were introduced to provide the service to users such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS) and Desktop as a Service (DaaS). Nowadays, Mobile as a Service (MaaS) to provide the mobility in a cloud environment. In other words, users must have access to data and applications even when they are moving. Thus, to support the mobility to a mobile Thin-Client is the key factor. Related works to support the mobility for mobile devices were Mobile IPv6 and Proxy Mobile IPv6 which showed performance drawbacks such as packet loss during hand-over which could be very critical when collaborating with cloud computing environment. The proposed model in this paper deploys middleware and replica servers to support the data transmission among cloud and PMIPv6 domain. It supports efficient mobility during high-speed movement as well as high-density of mobile nodes in local mobility anchor. In this paper, through performance evaluation, the proposed scheme shows the cost comparison between previous PMIPv6 and verifies its significant efficiency.