Dissertation/Thesis Abstract

Secure Semantic Search over Encrypted Big Data in the Cloud
by Woodworth, Jason W., M.S., University of Louisiana at Lafayette, 2017, 71; 10286646
Abstract (Summary)

Cloud storage is a widely used service for both a personal and enterprise demands. However, despite its advantages, many potential users with sensitive data refrain from fully using the service due to valid concerns about data privacy. An established solution to this problem is to perform encryption on the client’s end. This approach, however, restricts data processing capabilities (e.g. searching over the data). In particular, searching semantically with real-time response is of interest to users with big data. To address this, this thesis introduces an architecture for semantically searching encrypted data using cloud services. It presents a method that accomplishes this by extracting and encrypting key phrases from uploaded documents and comparing them to queries that have been expanded with semantic information and then encrypted. It presents an additional method that builds off of this and uses topic-based clustering to prune the amount of searched data and improve performance times for big-data-scale. Results of experiments carried out on real datasets with fully implemented prototypes show that results are accurate and searching is efficient.

Indexing (document details)
Advisor: Amini, Mohsen
Commitee: Maida, Anthony, Raghavan, Vijay, Wu, Xindong
School: University of Louisiana at Lafayette
Department: Computer Science
School Location: United States -- Louisiana
Source: MAI 57/01M(E), Masters Abstracts International
Source Type: DISSERTATION
Subjects: Information Technology, Computer science
Keywords: Big data, Cloud computing, Cloud storage, Searchable encryption, Semantic search
Publication Number: 10286646
ISBN: 9780355520620
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