CIPHERTEXT CLOUD DATA KEYWORD SEARCH BASED ON VARIOUS SOURCES

Abstract

SE, or searchable encryption, is a crucial tool for protecting the privacy and usability of cloud-based
information. To provide both keyword-based retrieval and granular authorization, the Ciphertext-Policy
Attribute-Based Keyword Search (CP-ABKS) technique employs Ciphertext-Policy Attribute-Based
Encryption (CP-ABE). However, in modern CP-ABKS systems, the hyperparameter authority is responsible
for the costly task of user certificate verification and distribution of secret keys. Additionally, this creates a
bottleneck in performance for centralized cloud systems that are spread out. To get over these limitations and
reduce the stress on devices with limited resources utilized in cloud computing, we provide a secure Multi-
authority CP-ABKS (MABKS) system in this study. In addition, the MABKS system now permits attribute
updates and the tracking of harmful attributes' authoritative sources. Based on the results of our in-depth
security analysis, the MABKS system satisfies the criteria for selected security under both the preferred and
picky models. Our trials using real-world datasets demonstrated the MABKS system's efficacy and use in
practical applications.