LITERATURE REVIEW ON A STREAMLINED APPROACH TO POLICY UPDATES IN CLOUD- BASED HEALTH RECORD SYSTEMS

Computer Engineering

In an attribute-based searchable encryption scheme, users can search for interesting keywords on keyword indexes by using a keyword search trapdoor. Data owners can encrypt their data with access policies for security considerations and encrypt keywords to obtain keyword index for privacy keyword search. Unfortunately, the majority of attribute-based encryption (ABE) systems now in use have large computational costs at the user side, and many searchable encryption schemes only offer single keyword searches. The practical implementation of attribute-based searchable encryption methods is severely restricted by these issues. In this research, we present an attribute-based encryption (VMKS-ABE) system for cloud storage that is verifiable and allows for multi-keyword searches while maintaining search privacy. In other words, the cloud server may perform a multi-keyword keyword searchsearch trapdoor, but it is unaware of the information included in the searched terms. The suggested plan significantly lessens the computing load at the user client by outsourcing a large number of computing operations to the cloud proxy server. Additionally, the approach facilitates the validation of the accuracy of the externalized private key. It is demonstrated that the suggested technique is secure in the sense that the ciphertext is selectively secure against selective plaintext attacks in the random oracle model, and the keyword index is indistinguishable under adaptive keyword assaults in the general group model. Our system is suitable for practical implementation, as majority of attribute-based encryption (ABE) algorithms in use today are computationally expensive for the user client. The practical uses of ABE schemes are severely restricted by these issues. We provide an attribute-based encryption (VMKS-ABE) technique for cloud storage that is multi-keyword searchable and verifiable. that addresses the issues of wasted network bandwidth and high computational costs. The scheme reduces the workload on local computers by outsourcing many computing tasks to a cloud proxy server and allows for the verification of the accuracy of the outsourced private keys. Our new approach protects search privacy and allows for multi-keyword searching, which can significantly increase keyword search accuracy.

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