Secure Fine-Grained Multi-Keyword Search with Protection from Key Abusers in the Cloud

­ Mamta, Brij Bhooshan Gupta · 2019

A combination of attribute-based encryption and searchable encryption is used to enable fine-grained searching capability. This combination leads to a powerful tool which supports fine-grained search functionality in multi-user scenario. In this paper, we have used key-policy (KP) design framework of attribute based encryption (ABE) to construct a multi-keyword search scheme where access rights assigned to a data user are associated with his/her secret key. This leads to a situation where data user can abuse his secret key to distribute it illegally to the unauthorized users to perform search over the shared data which are not intended for him/her. So, to track such kind of key abusers we have embedded an extra functionality of tracing the traitors.

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