期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：3
DOI：10.15680/ijircce.2015.0303081
出版社：S&S Publications
摘要：Big data is an evolving term that describes any voluminous amount of structured, semi-structured andunstructured data. The term is often used when speaking about peta-bytes and exa-bytes of data. The security andprivacy is the static and huge challenging issue in big data storage. There are many ways to compromise data becauseof insufficient authentication, authorization, and audit (AAA) controls, such as deletion or alteration of records withouta backup of the original content. The existing research work showed that it can fully support authorized auditing andfine-grained update requests. However, such schemes in existence suffer from several common drawbacks. Firstmaintaining the storages can be a difficult task and second it requires high resource costs for the implementation. Thispaper, Propose a formal analysis technique called full grained updates. It includes the efficient searching fordownloading the uploaded file and also focuses on designing the auditing protocol to improve the server-side protectionfor the efficient data confidentiality and data availability
关键词：Big data; fine grained; full-grained and auditing protocol
