期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：7
页码：14645
DOI：10.15680/IJIRSET.2017.0607298
出版社：S&S Publications
摘要：Cloud processing is the figuring innovation which gives assets like programming, equipment,administrations over the web. Cloud computing gives calculation, programming, information get to and capacitybenefits that don't require end-client learning of the physical area and setup of the framework that conveys theadministration. Since the information transmission on the web or over any systems are defenceless against theprogrammer assault. Cloud based information capacity frameworks have numerous complexities with respect to basic,private, delicate information of customer. The trust required on distributed storage is so far had been restricted byclients. The information stockpiling in the cloud has been a promising issue in these days. This is because of the waythat the clients are putting away their significant information and data in the cloud. The clients ought to believe thecloud specialist organizations to give security to their information. The cloud specialist organizations likewise givingthe security however not up to a total level. The assault of noxious insiders into the cloud and to take the informationhas been expanded. Information store is fundamental future that cloud benefit gives to the organizations to storegigantic measure of capacity limit. Yet at the same time many organizations are not prepared to actualize distributedcomputing innovation because of absence of legitimate security control approach and shortcoming in insurance whichprompt to many test in distributed computing. This paper deals about the study on various issues identified withinformation stockpiling security on single cloud and also multi cloud what's more, adaptation to internal failure.
关键词：Cloud; cloud computing; multiple cloud; service provider; data storage; data security; audit policy; data;correctness; data availability; data integrity.
