Special Issue Article Open Access

An Architecture to Enhance Privacy and Security in Collaborative Systems

Abstract

Information Brokering System is a distributed system, which provides data access for the clients through a set of brokers. Brokers make routing decisions to direct client queries to the requested data servers. Many IBSs assume that brokers are trusted and provide only data confidentiality for server-side. The privacy of data location and data consumer can be inferred from metadata exchanged among the brokers. The corrupted broker may outsource the metadata to third parties. A new infrastructure called PPIB is developed to preserve the privacy of multiple stakeholders involved in brokering process. Two schemes are defined namely, Automaton Segmentation and Query Segment Encryption to securely share the routing decision among a set of brokers. The key idea for preserving privacy is to divide and allocate the functionality to multiple brokering components. The functionalities are allocated in such a way that no single component makes a meaningful inference from the disclosed information. Another key idea is to develop a scheme that does dynamic load balance for co-ordinators, which is to make PPIB self-reconfigurable. The new model integrates security enforcement with query routing to provide system wide security with insignificant overhead.

Ms. G. Sathya M.E. , Mr. K. Loganathan M.E.,

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