Multi-Authority Fine-Grained Data Sharing and Search Scheme for Cloud Banking Systems

Abstract

The migration of the banking system to the cloud seems inevitable in near future like any other industry. By leveraging cloud technology, the personal and financial data of any customer can be accessed and controlled by third-party service providers. However, in order to maintain confidentiality, this information should be kept in an encrypted format, which has an impact on the usefulness and flexibility of fundamental operations like search. Moreover, in a financial institution, a data owner may want to provide the searching capability to the users from diverse domains. Therefore, to provide such flexibility, a system of multi-authority fine-grained search is introduced where each authority manages a single but entirely disjoint domain of attributes. As a result, the proposed system is more scalable, it can handle a large number of users from diverse domains and manage their credentials effectively. While most of the schemes in the literature lack this feature, and have a performance bottleneck because of a single centralized trusted authority.

A Multi-Angle Bidirectional Interaction Model for Entity Linking

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