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Secure query processing in untrusted...

Choi, Sunoh.

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Secure query processing in untrusted cloud environments.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Secure query processing in untrusted cloud environments./
Author:	Choi, Sunoh.
Description:	166 p.
Notes:	Source: Dissertation Abstracts International, Volume: 76-01(E), Section: B.
Contained By:	Dissertation Abstracts International76-01B(E).
Subject:	Engineering, Computer. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3635814
ISBN:	9781321171389

Secure query processing in untrusted cloud environments.
Choi, Sunoh.

Secure query processing in untrusted cloud environments. - 166 p.

Source: Dissertation Abstracts International, Volume: 76-01(E), Section: B.

Thesis (Ph.D.)--Purdue University, 2014.

This item must not be sold to any third party vendors.

Nowadays, data are stored to a third party in cloud environments and query processing is also done by the third party to reduce the expense to maintain the system. Although there are lots of advantages in using independent third parties in query processing, security problems become more crucial since we cannot completely trust the third parties which can be easily corrupted or malfunctioning. The security problems with untrusted third parties are multifaceted in several areas such as privacy, authentication, and recovery. For privacy, the third party should not be able to know what the user's query is since the query itself describes the user's interest. For authentication, the user should be able to verify that the information from the third party is not tampered since the correctness of the query results depends upon the correctness of the information from the third party. For recovery, when the result is found to be forged by an adversary, we should be able to find the adversary and get a correct result by removing the adversary.

ISBN: 9781321171389Subjects--Topical Terms:

1669061
Engineering, Computer.

Secure query processing in untrusted cloud environments.
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100 1 $a Choi, Sunoh. $3 3170140
245 1 0 $a Secure query processing in untrusted cloud environments.
300 $a 166 p.
500 $a Source: Dissertation Abstracts International, Volume: 76-01(E), Section: B.
500 $a Adviser: Elisa Bertino.
502 $a Thesis (Ph.D.)--Purdue University, 2014.
506 $a This item must not be sold to any third party vendors.
520 $a Nowadays, data are stored to a third party in cloud environments and query processing is also done by the third party to reduce the expense to maintain the system. Although there are lots of advantages in using independent third parties in query processing, security problems become more crucial since we cannot completely trust the third parties which can be easily corrupted or malfunctioning. The security problems with untrusted third parties are multifaceted in several areas such as privacy, authentication, and recovery. For privacy, the third party should not be able to know what the user's query is since the query itself describes the user's interest. For authentication, the user should be able to verify that the information from the third party is not tampered since the correctness of the query results depends upon the correctness of the information from the third party. For recovery, when the result is found to be forged by an adversary, we should be able to find the adversary and get a correct result by removing the adversary.
520 $a To address these challenges, we propose several schemes. First, with respect to secure kNN query processing and secure proximity detection, we give novel schemes based on Mutable Order Preserving Encryption (MOPE) and Secure Point Evaluation Method (SPEM). Second, for authenticated top-k aggregation, we suggest novel schemes using Three Phase Uniform Threshold Algorithm, Merkle Hash Tree, and Condensed-RSA. Third, for detecting malicious nodes, we propose novel algorithms based on Additively Homomorphic Encryption and Multipath Transmission. Our experimental evaluation and security analyses demonstrate that robust mechanisms can be deployed with a minimal amount of computational and communicational expense.
590 $a School code: 0183.
650 4 $a Engineering, Computer. $3 1669061
650 4 $a Computer Science. $3 626642
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710 2 $a Purdue University. $b Electrical and Computer Engineering. $3 1018497
773 0 $t Dissertation Abstracts International $g 76-01B(E).
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792 $a 2014
793 $a English
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