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dc.contributor.advisor Ebrahimi, Mahdi en_US Astudillo, Kyle 2023-03-09T21:33:42Z 2023-03-09T21:33:42Z 2023-03-09
dc.description.abstract Large amounts of data is generated every day as well as the need to ingest, process, store, and maintain all that data. The scale of data is so large that normal file access and processing present different challenges. Data owners can attempt to store and share data on premise but then lose out on savings from the cloud. Data owners can store all their data on the cloud to save money but then run into a myriad of security challenges. Attribute based encryption is the key to tackling these challenges. A method leveraging key policy attribute-based encryption (KP-ABE) to allow multiple users to ingest data into a system encrypted then have other users search over its contents to receive files while using KP-ABE as a distributed authorization method will be presented, tested against AES, and system metrics will be presented. The solution presented will allow users to use a representational state transfer application programming interface to interact with the system while not having to deal with auxiliary files or encryption libraries to upload documents into the cloud and be encrypted at rest.
dc.description.statementofresponsibility by Kyle Astudillo en_US
dc.format.extent vi, 43 pages en_US
dc.language.iso en_US en_US
dc.publisher California State University, Northridge en_US
dc.subject Attribute based encryption
dc.subject cloud storage
dc.subject REST API
dc.subject Key policy attribute based encryption
dc.subject encryption at rest
dc.subject.other Dissertations, Academic -- CSUN -- Computer Science. en_US
dc.title Multi-user search-able attribute-based encryption for outsourced big data for Create, Update, Read and Delete Operations
dc.type Thesis en_US 2023-03-09T21:33:43Z
dc.contributor.department Computer Science en_US M.S. en_US
dc.contributor.committeeMember McIlhenny, Robert en_US
dc.contributor.committeeMember Kaplan, Adam en_US

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