Journal of Computer, Internet and Network Security ISSN: 2457-0176 (Online)

Authors: P. Santosh, K.Gayathri

Abstract: One of the most sought-after research directions in cloud computing is secure document storage and retrieval. Despite the fact that various searchable encryption techniques have been proposed, only a small percentage of them offer skilled and productive recovery of documents that have been encrypted based on their properties. The primary goal of this project is to create a hierarchical attribute-based encryption method for document gathering. If the records are based on a coordinated access structure, a large number of them can be jumbled together. Both the cypher text storage space and the time costs of encryption/decryption are conserved when using the Cipher text-Policy Attribute-Based Encryption (CP-ABE) methods. A record structure known as the Attribute-based Retrieval Features (ARF) tree was created for the report gathering based on the TF-IDF display and the archives characteristics at that moment. For the ARF tree, a profundity first scan computation is designed to increase inquiry proficiency, which may be further enhanced by parallel processing. With the exception of report accumulations, our strategy may be applied to a variety of datasets by subtly altering the ARF tree. To demonstrate the security and efficacy of the suggested strategy, a thorough study and a series of tests are carried out.