Efficient Processing of Secured XML Metadata

Metadata management is a key issue in intelligent Webbased environments. It plays an important role in a wide spectrum of areas, ranging from semantic explication, information handling, knowledge management, multimedia processing to personalized service delivery. As a result, security issues around metadata management needs to be addressed in order to build trust and confidence to ambient environments. The aim of this paper is to bring together the worlds of security and XML-formatted metadata management in such a way that, on the one hand the requirement on secure metadata management is satisfied, while on the other other hand the efficiency on metadata processing can still be guaranteed. To this end, we develop an effective approach to enable efficient search on encrypted XML metadata. The basic idea is to augment encrypted XML metadata with encodings which characterize the topology and content of every tree-structured XML metadata, and then filter out candidate data for decryption and query execution by examining query conditions against these encodings. We describe a generic framework consisting of three phases, namely, query preparation, query pre-processing and query execution, to implement the proposed search strategy.