A Efficient Integrity Index Based Dynamic Keyword Search Mechanism Over Large Encrypted Cloud Data

Public key cryptography, which integrates both static and dynamic keyword search capabilities, is essential in real-time cloud computing systems. Traditional keyword search models that rely on cryptography face considerable challenges in indexing and searching within cloud environments, primarily due to the varying sizes of data and transmission delays. Additionally, these models struggle with effectively managing various users performing dynamic keyword searches on encrypted cloud data. The primary challenges of current keyword search and cloud encoding methods include inefficiencies in managing data size variations, performance bottlenecks caused by significant connection delays, and the complexity of dynamically handling access control and keyword searches for different users. To address these difficulties, we propose implementing a hybrid dynamic user integrity algorithm specifically designed to enhance the encryption and indexing procedures of cloud data. This approach utilizes a hybrid dynamic model for user access control-based encryption and decryption, which is applied to user data before it is uploaded to the cloud server. Experimental results demonstrate that the proposed dynamic keyword search paradigm, which prioritizes integrity and encryption, significantly outperforms traditional techniques in managing encrypted cloud data.