國立虎尾科技大學 |

Secure Semantic Search over Encrypted Big Data in the Cloud.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Secure Semantic Search over Encrypted Big Data in the Cloud./
Author:	Woodworth, Jason W.
Description:	1 online resource (71 pages)
Notes:	Source: Masters Abstracts International, Volume: 57-01.
Contained By:	Masters Abstracts International57-01(E).
Subject:	Computer science. -
Online resource:	click for full text (PQDT)
ISBN:	9780355520620

Secure Semantic Search over Encrypted Big Data in the Cloud.
Woodworth, Jason W.

Secure Semantic Search over Encrypted Big Data in the Cloud. - 1 online resource (71 pages)

Source: Masters Abstracts International, Volume: 57-01.

Thesis (M.S.)--University of Louisiana at Lafayette, 2017.

Includes bibliographical references

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.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355520620Subjects--Topical Terms:

573171
Computer science.
Index Terms--Genre/Form:

554714
Electronic books.

Secure Semantic Search over Encrypted Big Data in the Cloud.
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500 $a Source: Masters Abstracts International, Volume: 57-01.
500 $a Adviser: Mohsen Amini.
502 $a Thesis (M.S.)--University of Louisiana at Lafayette, 2017.
504 $a Includes bibliographical references
520 $a 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.
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538 $a Mode of access: World Wide Web
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650 4 $a Information technology. $3 559429
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710 2 $a University of Louisiana at Lafayette. $b Computer Science. $3 1195497
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