The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Pour des services de stockage fiables, nous avons besoin d'un moyen non seulement de surveiller l'état des données stockées, mais également de récupérer les données d'origine lorsqu'une perte de données est découverte. Pour résoudre le problème, une nouvelle technique appelée HAIL a été proposée. Malheureusement, HAIL ne peut pas prendre en charge les données dynamiques qui sont modifiées en fonction des requêtes de modification des utilisateurs. Il existe de nombreuses applications où des données dynamiques sont utilisées. Nous avons donc besoin d'un moyen de prendre en charge les données dynamiques dans les services cloud afin d'utiliser le système de stockage cloud pour diverses applications. Dans cet article, nous proposons une nouvelle technique pouvant prendre en charge l'utilisation de données dynamiques dans les systèmes de stockage cloud. Pour la mise à jour dynamique des données, nous concevons une nouvelle stratégie de génération de blocs de données qui garantit une insertion, une suppression et une modification efficaces des données. Notre technique nécessite O(1) opérations pour chaque mise à jour des données lorsque les techniques existantes nécessitent O(n) opérations où n est la taille des données.
Nam-Su JHO
Electronics and Telecommunications Research Institute
Daesung MOON
Electronics and Telecommunications Research Institute
Taek-Young YOUN
Dankook University
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Nam-Su JHO, Daesung MOON, Taek-Young YOUN, "Fully Dynamic Data Management in Cloud Storage Systems with Secure Proof of Retrievability" in IEICE TRANSACTIONS on Information,
vol. E105-D, no. 11, pp. 1872-1879, November 2022, doi: 10.1587/transinf.2022NGP0004.
Abstract: For reliable storage services, we need a way not only to monitor the state of stored data but also to recover the original data when some data loss is discovered. To solve the problem, a novel technique called HAIL has been proposed. Unfortunately, HAIL cannot support dynamic data which is changed according to users' modification queries. There are many applications where dynamic data are used. So, we need a way to support dynamic data in cloud services to use cloud storage system for various applications. In this paper, we propose a new technique that can support the use of dynamic data in cloud storage systems. For dynamic data update, we design a new data chunk generation strategy which guarantee efficient data insertion, deletion, and modification. Our technique requires O(1) operations for each data update when existing techniques require O(n) operations where n is the size of data.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2022NGP0004/_p
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@ARTICLE{e105-d_11_1872,
author={Nam-Su JHO, Daesung MOON, Taek-Young YOUN, },
journal={IEICE TRANSACTIONS on Information},
title={Fully Dynamic Data Management in Cloud Storage Systems with Secure Proof of Retrievability},
year={2022},
volume={E105-D},
number={11},
pages={1872-1879},
abstract={For reliable storage services, we need a way not only to monitor the state of stored data but also to recover the original data when some data loss is discovered. To solve the problem, a novel technique called HAIL has been proposed. Unfortunately, HAIL cannot support dynamic data which is changed according to users' modification queries. There are many applications where dynamic data are used. So, we need a way to support dynamic data in cloud services to use cloud storage system for various applications. In this paper, we propose a new technique that can support the use of dynamic data in cloud storage systems. For dynamic data update, we design a new data chunk generation strategy which guarantee efficient data insertion, deletion, and modification. Our technique requires O(1) operations for each data update when existing techniques require O(n) operations where n is the size of data.},
keywords={},
doi={10.1587/transinf.2022NGP0004},
ISSN={1745-1361},
month={November},}
Copier
TY - JOUR
TI - Fully Dynamic Data Management in Cloud Storage Systems with Secure Proof of Retrievability
T2 - IEICE TRANSACTIONS on Information
SP - 1872
EP - 1879
AU - Nam-Su JHO
AU - Daesung MOON
AU - Taek-Young YOUN
PY - 2022
DO - 10.1587/transinf.2022NGP0004
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E105-D
IS - 11
JA - IEICE TRANSACTIONS on Information
Y1 - November 2022
AB - For reliable storage services, we need a way not only to monitor the state of stored data but also to recover the original data when some data loss is discovered. To solve the problem, a novel technique called HAIL has been proposed. Unfortunately, HAIL cannot support dynamic data which is changed according to users' modification queries. There are many applications where dynamic data are used. So, we need a way to support dynamic data in cloud services to use cloud storage system for various applications. In this paper, we propose a new technique that can support the use of dynamic data in cloud storage systems. For dynamic data update, we design a new data chunk generation strategy which guarantee efficient data insertion, deletion, and modification. Our technique requires O(1) operations for each data update when existing techniques require O(n) operations where n is the size of data.
ER -