A Novel Approach to Improve the Privacy of Information Brokering in Semantic Web

As enormous structured, semi-structured and unstructured data are collected and archived by organizations in many realms ranging from business to health networks to government agencies, the needs for efficient yet secure inter-organization information sharing via on-demand access naturally arise. Now a day, information brokering system has honest assumptions on brokers who can fulfill the requirements of user by locating right data provider where required data is present. Moreover, with increasing concerns on protecting the sensitive and/or proprietary data, the organizations prefer sharing data in a more secure and privacy-preserving manner, instead of establishing a purely full trust relationship on brokers and releasing the control over the shared data. In this paper, we propose a new privacy-preserving information brokering system (PPIBS), with privacy enhancing encryption algorithms such as AES for selective encryption which protect the identity of the data requestor who forward the request to broker and two tier encryption using Vigenere cipher and Selective Reverse Circle Cipher and Huffman encryption algorithm to enrich the data privacy.