PRIVACY PRESERVATION AND PUBLIC AUDITING FOR CLOUD DATA USING ASS IN MULTI-CLOUD

被引:0
作者
Suganthi, J. [1 ]
Ananthi, J. [1 ]
Archana, S. [1 ]
机构
[1] Hindusthan Coll Engn & Technol, Dept Comp Sci & Engn, Coimbatore, Tamil Nadu, India
来源
2015 INTERNATIONAL CONFERENCE ON INNOVATIONS IN INFORMATION, EMBEDDED AND COMMUNICATION SYSTEMS (ICIIECS) | 2015年
关键词
Public auditing; Shared data; Cloud Computing; Multi-cloud;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Cloud computing is the new business paradigm introduced in the IT market in the current decade providing the customers with the option to pay for the amount of service utilized. The use of cloud computing has increased rapidly in many organizations. Ensuring security of data in a cloud is a major factor in the cloud computing environment, as users often store fragile information in cloud storage. Public auditing on shared data stored in the cloud is done by exploiting Aggregate Signature Scheme. With this mechanism, the identity of the signer of various blocks of shared data is kept private from public verifiers, who are able to verify efficiently the integrity of shared data without retrieving the entire file. However traceability is a major issue. A Multi-clouds Database Model (MCDB) which is based on Multi-clouds service providers instead of using single cloud service provider such as in Amazon cloud service is used to implement traceability. Also, dealing with single cloud providers is predicted to become less popular with customers due to risks of service availability failure and the possibility of malicious insiders in the single cloud. A movement towards multi-clouds is highly efficient and this system would also check for the data's which are attacked by malicious users, with short time and cost requirement.
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页数:6
相关论文
共 8 条
[1]  
Archana S, 2014, INT J SCI REIJSR, V3, P1989
[2]  
Boneh D., 2014, P 22 INT C THEOR APP, P416
[3]  
Nan XF, 2010, IEEE INT C BIOINFORM, P520, DOI 10.1109/BIBM.2010.5706621
[4]  
Power EA, 1992, Sediment Toxicity Assessment, P33487
[5]  
Suganthi J Dr., 2014, INT J EMERGING TREND, V3, P242
[6]  
Wang BY, 2013, IEEE INFOCOM SER, P2904
[7]  
Wang BY, 2014, IEEE T CLOUD COMPUT, V2, P43, DOI [10.1109/CLOUD.2012.46, 10.1109/TCC.2014.2299807]
[8]  
Zhu Y., 2011, P 2011 ACM S APPL CO, P1550, DOI DOI 10.1145/1982185.1982514