Abstract: Multi-user encrypted cloud databases have become essential for secure data storage and retrieval, especially when supporting both single and multiple keyword searches. Ensuring data confidentiality, integrity, and efficient access within such systems is paramount, particularly when dealing with multiple data owners and users. This paper presents a Secure Encrypted Trie-based Search (SETBS) method that significantly enhances multi-owner authentication, data secrecy, and data integrity in cloud environments. The SETBS framework leverages a sophisticated Merkle hash tree for dynamic maintenance and autonomous user verification, ensuring that the identity of users is reliable and that personal information remains protected across various ownership domains. By optimally utilizing resources, SETBS provides a robust and efficient solution for managing data in cloud environments. The framework addresses the bottleneck issue by distributing the workload among first-level owners, resulting in fair resource distribution and increased system efficiency. A key feature of the SETBS method is its ability to guarantee data integrity without compromising security. Users can be assured that their data remains unaltered and protected from unauthorized access, thanks to the integration of the Merkle hash tree. This mechanism enables clients to confirm the integrity of their data stored in the cloud, providing peace of mind regarding its security. Moreover, SETBS proves to be a flexible and scalable solution for large-scale cloud deployments, efficiently managing multiple data owners and parallelizing the processing load. The framework's focus on data privacy ensures that personal data remains secure during search operations. With lower encryption and decryption times compared to existing methods such as SPEKS, DSSE, and MKHE, SETBS demonstrates superior performance and is implemented in Python. This comprehensive approach offers an all-encompassing solution for businesses seeking to enhance their cloud security architecture while ensuring efficient data management, from processing to real-time or batch data analysis.

J V S Arundathi and K V V Satyanarayana, “A Secure and Efficient Framework for Multi-User Encrypted Cloud Databases Supporting Single and Multiple Keyword Searches” International Journal of Advanced Computer Science and Applications(IJACSA), 15(9), 2024. http://dx.doi.org/10.14569/IJACSA.2024.0150955

@article{Arundathi2024,
title = {A Secure and Efficient Framework for Multi-User Encrypted Cloud Databases Supporting Single and Multiple Keyword Searches},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.0150955},
url = {http://dx.doi.org/10.14569/IJACSA.2024.0150955},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {9},
author = {J V S Arundathi and K V V Satyanarayana}
}