基于三维立体模型的安全云存储方法

doi:10.11772/j.issn.1001-9081.2017.02.0373

计算机应用 ›› 2017, Vol. 37 ›› Issue (2): 373-377.DOI: 10.11772/j.issn.1001-9081.2017.02.0373

• 第十届中国可信计算与信息安全学术会议 • 上一篇下一篇

基于三维立体模型的安全云存储方法

吕宏武, 蔡瑶琦, 王慧强, 郭方方

哈尔滨工程大学计算机科学与技术学院, 哈尔滨 150001

收稿日期:2016-08-15 修回日期:2016-09-11 出版日期:2017-02-10 发布日期:2017-02-11
通讯作者: 蔡瑶琦,Caiyaoqi5217@163.com
作者简介:吕宏武(1983-),男,山东日照人,讲师,博士,主要研究方向:云计算、可信计算、认知网络;蔡瑶琦(1991-),女,吉林珲春人,硕士研究生,主要研究方向:云计算、云存储安全;王慧强(1960-),男,河南周口人,教授,博士,CCF高级会员,主要研究方向:云计算、信息安全、自律计算、可信计算、认知网络;郭方方(1974-),男,黑龙江哈尔滨人,副教授,博士,CCF会员,主要研究方向:云计算、网络与信息安全、对等网络。
基金资助:
国家自然科学基金资助项目（61370212，61402127）；中央高校基本科研业务费专项资金资助项目（HEUCF160601）。

Secure cloud storage method based on three-dimensional stereo model

LYU Hongwu, CAI Yaoqi, WANG Huiqiang, GUO Fangfang

College of Computer Science and Technology, Harbin Engineering University, Harbin Heilongjiang 150001, China

Received:2016-08-15 Revised:2016-09-11 Online:2017-02-10 Published:2017-02-11
Supported by:
This work is partially supported by the National Natural Science Foundation of China (61370212, 61402127), the Fundamental Research Funds for the Central Universities (HEUCF160601).

摘要/Abstract

摘要： 针对现有云存储中可能存在的多个节点数据丢失或不可用的情况，提出了基于三维立体模型（TD-model）的安全云存储方法。首先将拟存储的数据进行网络编码，并将编码后的数据块均匀存储到所选立体的两个对立面（作为基准面）上，形成基准节点；其次，采用数学运算的方式在每个面上形成非基准节点，使每个面的节点之间相互关联；最终，通过六个面的相关性实现数据的高可恢复性。实验结果表明，相比传统的副本存储方法，TD-model安全云存储方法可在多节点失效时对数据进行恢复，提高了数据恢复效率，保证了数据的完整性，克服了现有方法中只能对单节点失效进行恢复的弊端。

关键词: 云存储, 安全存储, 多节点恢复

Abstract: Focusing on the data lost or unavailable reference in cloud storage, a secure cloud storage method based on Three-Dimensional model (TD-model)was proposed. Firstly, base nodes of TD-model method were formed by encoding the data, which would be stored uniformly into two opposite sides in the TD-model. Secondly, normal nodes were formed in each side by mathematical computing, and the nodes of each side ensure connection. Finally, high data availability was achieved by the correlation of all the six sides. The experimental results show that compared with the traditional replica storage methods, the secure cloud storage method based on TD-model enhances data recovery efficiency and ensures data integrity. In addition, the proposed method can overcome the drawback of traditional methods that only the single node failure can be recovered.

Key words: cloud storage, secure storage, multi-node recovery

中图分类号:

TP393.08

吕宏武, 蔡瑶琦, 王慧强, 郭方方. 基于三维立体模型的安全云存储方法[J]. 计算机应用, 2017, 37(2): 373-377.

LYU Hongwu, CAI Yaoqi, WANG Huiqiang, GUO Fangfang. Secure cloud storage method based on three-dimensional stereo model[J]. Journal of Computer Applications, 2017, 37(2): 373-377.

参考文献

[1] 冯国登,张敏,李昊.大数据安全与隐私保护[J].计算机学报,2014,37(1):246-258. (FENG D G, ZHANG M, LI H. Big data security and privacy protection[J]. Chinese Journal of Computers, 2014, 37(1):246-258.).
[2] BALASARASWATHI V R, MANIKANDAN S. Enhanced security for multi-cloud storage using cryptographic data splitting with dynamic approach[C]//ICACCCT 2014:Proceedings of the 2014 International Conference on Advanced Communication Control and Computing Technologies. Piscataway, NJ:IEEE, 2014:1190-1194.
[3] CURTMOLA R, KHAN O, BURNS R, et al. MR-PDP:multiple-replica provable data possession[C]//ICDCS'08:Proceedings of the 28th International Conference on Distributed Computing Systems. Washington, DC:IEEE Computer Society, 2008:411-420.
[4] MA Y, NANDAGOPAL T, PUTTASWAMY K P N, et al. An ensemble of replication and erasure codes for cloud file systems[C]//Proceedings of the IEEE INFOCOM 2013. Piscataway, NJ:IEEE, 2013:1276-1284.
[5] HU Y, CHEN H C H, LEE P P C, et al. NCCloud:applying network coding for the storage repair in a cloud-of-clouds[C]//FAST 2012:Proceedings of the 10th USENIX Conference on File and Storage Technologies. Berkeley, CA:USENIX Association, 2012:Article No. 21.
[6] DIMAKIS A G, RAMCHANDRAN K, WU Y, et a1.A survey on network codes for distributed storage[J]. The Proceedings of the IEEE, 2011, 99(3):476-489.
[7] 张俊峰.基于网络编码的云存储方案研究[D].长沙:中南大学,2014:16-29. (ZHANG J F. Cloud storage scheme based on network coding[D]. Changsha:Central South University, 2014:16-29.).
[8] HU Y, LEE P P C, SHUM K W. Analysis and construction of functional regenerating codes with uncoded repair for distributed storage systems[C]//Proceedings of the IEEE INFOCOM 2013. Piscataway, NJ:IEEE, 2013:2355-2363.
[9] PAPAILIOPOULOS D S, LUO J, DIMAKIS A G, et al. Simple regenerating codes:network coding for cloud storage[C]//Proceedings of the IEEE INFOCOM 2013.INFOCOM 2012:Proceedings of the 31th IEEE International Conference on Computer Communications.Piscataway, NJ:IEEE, 2012:2801-2805.
[10] WANG W, LI P, HAN L, et al. An enhanced erasure code-based security mechanism for cloud storage[J]. Mathematical Problems in Engineering, 2014, 2014:Article ID 293214.
[11] VISEGRáDI á, KACSUK P. Efficient random network coding for distributed storage systems[C]//Euro-Par 2013:Proceedings of the BigDataCloud, DIHC, FedICI, HeteroPar, HiBB, LSDVE, MHPC, OMHI, PADABS, PROPER, Resilience, ROME, and UCHPC 2013, Parallel Processing Workshops, LNCS 8374. Berlin:Springer-Verlag, 2014:385-394.
[12] CHEN F, XIANG T, YANG Y, et al. Secure cloud storage meets with secure network coding[J]. IEEE Transactions on Computers, 2014, 65(6):673-681.
[13] OMOTE K, THAO T P. A new efficient and secure por scheme based on network coding[C]//AINA 2014:Proceedings of the 2014 IEEE 28th International Conference on Advanced Information Networking & Applications. Piscataway, NJ:IEEE, 2014:98-105.
[14] 李玲,付园,麻晓珍,等.云存储系统中数据冗余策略优化问题[J].吉林大学学报(信息科学版),2013, 31(1):1-7. (LI L, FU Y, MA X Z, et al. Research of data redundancy policy optimization problem in cloud storage system[J]. Journal of Jilin University (Information Science Edition), 2013, 31(1):1-7.)

[1]	李秀艳, 刘明曦, 史闻博, 董国芳. 面向资源受限用户的高效动态数据审计方案[J]. 计算机应用, 2021, 41(2): 422-432.
[2]	唐鑫, 周琳娜. 基于响应模糊化的抗附加块攻击云数据安全去重方法[J]. 计算机应用, 2020, 40(4): 1085-1090.
[3]	拜亚萌, 满君丰, 张宏. 基于区块链的电子健康记录安全存储模型[J]. 计算机应用, 2020, 40(4): 961-965.
[4]	付伟, 顾晨阳, 高强. 基于属性加密的多用户共享ORAM方案[J]. 计算机应用, 2020, 40(2): 497-502.
[5]	王海勇, 彭垚, 郭凯璇. 云存储中基于代理重加密的CP-ABE访问控制方案[J]. 计算机应用, 2019, 39(9): 2611-2616.
[6]	柳玉东, 王绪安, 涂广升, 王涵. 全生命周期的云外包数据安全审计协议[J]. 计算机应用, 2019, 39(7): 1954-1958.
[7]	周坚, 金瑜, 何亨, 李鹏. 基于嵌套Merkle Hash tree区块链的云数据动态审计模型[J]. 计算机应用, 2019, 39(12): 3575-3583.
[8]	明洋, 何宝康. 支持属性撤销的可验证外包的多授权属性加密方案[J]. 计算机应用, 2019, 39(12): 3556-3562.
[9]	李静, 刘冬实. 主动容错云存储系统的可靠性评价模型[J]. 计算机应用, 2018, 38(9): 2631-2636.
[10]	陈博, 何连跃, 严巍巍, 徐照淼, 徐俊. 海量小文件系统的可移植操作系统接口兼容技术[J]. 计算机应用, 2018, 38(5): 1389-1392.
[11]	杨宏宇, 王玥. 云存储环境下的多关键字密文搜索方法[J]. 计算机应用, 2018, 38(2): 343-347.
[12]	王敏燊, 熊金波, 林倩, 王丽丽. 基于密钥分发和密文抽样的云数据确定性删除方案[J]. 计算机应用, 2018, 38(1): 194-200.
[13]	李强, 刘晓峰. 基于Hopfield神经网络的云存储负载均衡策略[J]. 计算机应用, 2017, 37(8): 2214-2217.
[14]	李昊宇, 张龙军, 李庆鹏. 基于B⁺树的动态数据持有性证明方案[J]. 计算机应用, 2017, 37(7): 1931-1935.
[15]	李阿妮, 张晓, 张伯阳, 柳春懿, 赵晓南. 公有云存储系统性能评测方法研究[J]. 计算机应用, 2017, 37(5): 1229-1235.

基于三维立体模型的安全云存储方法

Secure cloud storage method based on three-dimensional stereo model

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics