Enhancing Data Privacy in Cloud Environments- A Multi-User Keyword Search Approach with Integrity Based Access Policy Generation

Abstract

Multi-keyword searching poses a significant challenge in cloud-based encrypted databases. With the growing size of supply chain transactions, ensuring the integrity and authentication of various transaction types in a cloud environment has become increasingly difficult. Conventional multi-keyword search techniques have become more convoluted and intricate when dealing with large encrypted heterogeneous data. Furthermore, traditional integrity computational techniques like the SHA family, MD5, whirlpool, and linear chaotic methods rely on fixed random parameters with limited hash and data size.To address these issues, this study introduces an innovative optimization framework for multi-user, multi-keyword search in encrypted cloud databases. The framework aims to enhance the search space of multikeyword queries by proposing a hybrid keyword similarity index measure. Experimental results demonstrate that the proposed approach outperforms existing methods in terms of search optimization and runtime efficiency.