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Distributed Secure and Privacy- Preserving Information Using Brokering System

Catherin Jenifer.S, Anandha Kumar.M

Interaction between entities that may not trust each other is now commonplace on the Internet. It focuses on the specific problem of sharing information between distrusting parties. Previous work in this area shows that privacy and utility can co-exist, but often do not provide strong assurances of one or the other. To sketch a research agenda with several directions for attacking these problems, considering several alternative systems that examine the privacy vs. utility problem from different angles. Therefore to propose a novel approach to preserve privacy of multiple stakeholders involved in the information brokering process. First of all to define two privacy attacks, namely attribute-correlation attack and inference attack, and propose two countermeasure schemes such as automaton segmentation and query segment encryption to securely share the routing decisionmaking responsibility among a selected set of brokering Servers. With comprehensive security analysis and experimental results, shows that our approach seamlessly integrates security enforcement with query routing to provide system-wide security with insignificant overhead.