IEICE TRANSACTIONS on Information
CloudS: A Multi-Cloud Storage System with Multi-Level Security
Summary :
With the increase of data quantity, people have begun to attach importance to cloud storage. However, numerous security accidents occurred to cloud servers recently, thus triggering thought about the security of traditional single cloud. In other words, traditional single cloud can't ensure the privacy of users' data to a certain extent. To solve those security issues, multi-cloud systems which spread data over multiple cloud storage servers emerged. They employ a series of erasure codes and other keyless dispersal algorithms to achieve high-level security. But non-systematic codes like RS require relatively complex arithmetic, and systematic codes have relatively weaker security. In terms of keyless dispersal algorithms, they avoid key management issues but not suit to complete parallel optimization or deduplication which is important to limited cloud storage resources. So in this paper, we design a new kind of XOR-based non-systematic erasure codes - Privacy Protecting Codes (PPC) and a SIMD encoding algorithm for better performance. To achieve higher-level security, we put forward a novel deduplication-friendly dispersal algorithm called Hash Cyclic Encryption-PPC (HCE-PPC) which can achieve complete parallelization. With these new technologies, we present a multi-cloud storage system called CloudS. For better user experience and the tradeoffs between security and performance, CloudS provides multiple levels of security by various combinations of compression, encryption and coding schemes. We implement CloudS as a web application which doesn't require users to perform complicated operations on local.
- Publication
- IEICE TRANSACTIONS on Information Vol.E99-D No.8 pp.2036-2043
- Publication Date
- 2016/08/01
- Publicized
- 2016/05/31
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2015INP0009
- Type of Manuscript
- Special Section PAPER (Special Section on Security, Privacy and Anonymity of Internet of Things)
- Category
Authors
Lu SHEN
Nankai University
Shifang FENG
Nankai University
Jinjin SUN
Nankai University
Zhongwei LI
Nankai University
Ming SU
Nankai University
Gang WANG
Nankai University
Xiaoguang LIU
Nankai University
Keyword
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Lu SHEN, Shifang FENG, Jinjin SUN, Zhongwei LI, Ming SU, Gang WANG, Xiaoguang LIU, "CloudS: A Multi-Cloud Storage System with Multi-Level Security" in IEICE TRANSACTIONS on Information,
vol. E99-D, no. 8, pp. 2036-2043, August 2016, doi: 10.1587/transinf.2015INP0009.
Abstract: With the increase of data quantity, people have begun to attach importance to cloud storage. However, numerous security accidents occurred to cloud servers recently, thus triggering thought about the security of traditional single cloud. In other words, traditional single cloud can't ensure the privacy of users' data to a certain extent. To solve those security issues, multi-cloud systems which spread data over multiple cloud storage servers emerged. They employ a series of erasure codes and other keyless dispersal algorithms to achieve high-level security. But non-systematic codes like RS require relatively complex arithmetic, and systematic codes have relatively weaker security. In terms of keyless dispersal algorithms, they avoid key management issues but not suit to complete parallel optimization or deduplication which is important to limited cloud storage resources. So in this paper, we design a new kind of XOR-based non-systematic erasure codes - Privacy Protecting Codes (PPC) and a SIMD encoding algorithm for better performance. To achieve higher-level security, we put forward a novel deduplication-friendly dispersal algorithm called Hash Cyclic Encryption-PPC (HCE-PPC) which can achieve complete parallelization. With these new technologies, we present a multi-cloud storage system called CloudS. For better user experience and the tradeoffs between security and performance, CloudS provides multiple levels of security by various combinations of compression, encryption and coding schemes. We implement CloudS as a web application which doesn't require users to perform complicated operations on local.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2015INP0009/_p
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@ARTICLE{e99-d_8_2036,
author={Lu SHEN, Shifang FENG, Jinjin SUN, Zhongwei LI, Ming SU, Gang WANG, Xiaoguang LIU, },
journal={IEICE TRANSACTIONS on Information},
title={CloudS: A Multi-Cloud Storage System with Multi-Level Security},
year={2016},
volume={E99-D},
number={8},
pages={2036-2043},
abstract={With the increase of data quantity, people have begun to attach importance to cloud storage. However, numerous security accidents occurred to cloud servers recently, thus triggering thought about the security of traditional single cloud. In other words, traditional single cloud can't ensure the privacy of users' data to a certain extent. To solve those security issues, multi-cloud systems which spread data over multiple cloud storage servers emerged. They employ a series of erasure codes and other keyless dispersal algorithms to achieve high-level security. But non-systematic codes like RS require relatively complex arithmetic, and systematic codes have relatively weaker security. In terms of keyless dispersal algorithms, they avoid key management issues but not suit to complete parallel optimization or deduplication which is important to limited cloud storage resources. So in this paper, we design a new kind of XOR-based non-systematic erasure codes - Privacy Protecting Codes (PPC) and a SIMD encoding algorithm for better performance. To achieve higher-level security, we put forward a novel deduplication-friendly dispersal algorithm called Hash Cyclic Encryption-PPC (HCE-PPC) which can achieve complete parallelization. With these new technologies, we present a multi-cloud storage system called CloudS. For better user experience and the tradeoffs between security and performance, CloudS provides multiple levels of security by various combinations of compression, encryption and coding schemes. We implement CloudS as a web application which doesn't require users to perform complicated operations on local.},
keywords={},
doi={10.1587/transinf.2015INP0009},
ISSN={1745-1361},
month={August},}
Copy
TY - JOUR
TI - CloudS: A Multi-Cloud Storage System with Multi-Level Security
T2 - IEICE TRANSACTIONS on Information
SP - 2036
EP - 2043
AU - Lu SHEN
AU - Shifang FENG
AU - Jinjin SUN
AU - Zhongwei LI
AU - Ming SU
AU - Gang WANG
AU - Xiaoguang LIU
PY - 2016
DO - 10.1587/transinf.2015INP0009
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E99-D
IS - 8
JA - IEICE TRANSACTIONS on Information
Y1 - August 2016
AB - With the increase of data quantity, people have begun to attach importance to cloud storage. However, numerous security accidents occurred to cloud servers recently, thus triggering thought about the security of traditional single cloud. In other words, traditional single cloud can't ensure the privacy of users' data to a certain extent. To solve those security issues, multi-cloud systems which spread data over multiple cloud storage servers emerged. They employ a series of erasure codes and other keyless dispersal algorithms to achieve high-level security. But non-systematic codes like RS require relatively complex arithmetic, and systematic codes have relatively weaker security. In terms of keyless dispersal algorithms, they avoid key management issues but not suit to complete parallel optimization or deduplication which is important to limited cloud storage resources. So in this paper, we design a new kind of XOR-based non-systematic erasure codes - Privacy Protecting Codes (PPC) and a SIMD encoding algorithm for better performance. To achieve higher-level security, we put forward a novel deduplication-friendly dispersal algorithm called Hash Cyclic Encryption-PPC (HCE-PPC) which can achieve complete parallelization. With these new technologies, we present a multi-cloud storage system called CloudS. For better user experience and the tradeoffs between security and performance, CloudS provides multiple levels of security by various combinations of compression, encryption and coding schemes. We implement CloudS as a web application which doesn't require users to perform complicated operations on local.
ER -
English
