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Cloud computing is come forth computing paradigm in which resources of the computing infrastructure are provided as services over the Internet. This paradigm also brings forth many new challenges for data security and access control when users outsource nociceptive data for sharing on cloud servers, which are not within the same countenanced domain as data owners. Although in the traditional way, encryption scheme to exploit edit distance to quantify keywords similarity and develop an advanced technique on constructing discrete keyword sets, which greatly reduces the storage and representation overheads. In this paper for the first time we formalize and solve the problem of sensitive data shared and stored by third-party sites on the internet. The attack correlation center, dshield.org, presents aggregated views of attacks on the Internet, but stores intrusion reports individually submitted by users. Given the variety, amount, and importance of information stored at these sites, there is cause for concern that personal data will be compromised. This worry is escalated by the surge in recent attacks and legal pressure faced by such services. In this paper, we introduce new techniques to implement fine grained access control. In our techniques, the data is stored on the server in an encrypted form while different users are still allowed to decrypt different pieces of data per the security policy. This effectively eliminates the need to rely on the storage server for preventing unauthorized data access. |
