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ENSURING QUERY INTEGRITY FOR SPATIAL DATA IN THE CLOUD
by
Ling Hu
A Dissertation Presented to the
FACULTY OF THE USC GRADUATE SCHOOL
UNIVERSITY OF SOUTHERN CALIFORNIA
In Partial Fulfillment of the
Requirements for the Degree
DOCTOR OF PHILOSOPHY
(COMPUTER SCIENCE)
December 2012
Copyright 2012 Ling Hu
Object Description
| Title | Ensuring query integrity for sptial data in the cloud |
| Author | Hu, Ling |
| Author email | lingh@usc.edu;ling.hu.us@gmail.com |
| Degree | Doctor of Philosophy |
| Document type | Dissertation |
| Degree program | Computer Science |
| School | Viterbi School of Engineering |
| Date defended/completed | 2012-07-19 |
| Date submitted | 2012-08-22 |
| Date approved | 2012-08-23 |
| Restricted until | 2012-08-23 |
| Date published | 2012-08-23 |
| Advisor (committee chair) | Shahabi, Cyrus |
| Advisor (committee member) |
Nakano, Aiichiro Annavaram, Murali |
| Abstract | With the popularity of location-based services (LBS) and the abundant usage of smart phones, tablets and other GPS-enabled devices, the necessity of providing efficient, reliable and cost-effective spatial data services has grown rapidly over the past few years. Consequently, outsourcing reduce the cost of managing and maintaining databases in-house but maintaining the same quality-of-service to their clients. Meanwhile, the fast arising trend of Cloud storage and Cloud computing services has provided a flexible and cost-effective platform for hosting data from businesses and individuals, further enabling many location-based applications. Nevertheless, in this new database outsourcing paradigm, how to ensure the integrity of the query results for the clients remains a challenging problem. ❧ To address the query integrity problem, we propose a new framework, named VNAuth, which allows a client to verify the correctness and completeness of the result set retrieved from the Cloud using spatial neighborhood information derived from the Voronoi diagram of the underlying dataset. VNAuth handles not only fundamental spatial query types, such as k-nearest-neighbor and range queries, but also more advanced query types like reverse k nearest neighbors, k aggregate nearest neighbors, and spatial skylines. Furthermore, we show that VNAuth can be extended from the Euclidean space to road networks where objects can only move on pre-defined trajectories, enabling spatial network query integrity. We evaluated VNAuth based on real-world datasets using mobile devices (Google Droid smart phones with Android OS) as query clients. Compared to the current state-of-the-art approaches (i.e., methods based on Merkle hash trees), our experiments show that VNAuth produces significantly smaller verification objects and is more computationally efficient, especially for queries with low selectivity. |
| Keyword | cloud; location-based services; query authentication; query integrity; road networks; spatial databases |
| Language | English |
| Part of collection | University of Southern California dissertations and theses |
| Publisher (of the original version) | University of Southern California |
| Place of publication (of the original version) | Los Angeles, California |
| Publisher (of the digital version) | University of Southern California. Libraries |
| Provenance | Electronically uploaded by the author |
| Type | texts |
| Legacy record ID | usctheses-m |
| Rights | Hu, Ling |
| Access conditions | The author retains rights to his/her dissertation, thesis or other graduate work according to U.S. copyright law. Electronic access is being provided by the USC Libraries in agreement with the author, as the original true and official version of the work, but does not grant the reader permission to use the work if the desired use is covered by copyright. It is the author, as rights holder, who must provide use permission if such use is covered by copyright. The original signature page accompanying the original submission of the work to the USC Libraries is retained by the USC Libraries and a copy of it may be obtained by authorized requesters contacting the repository e-mail address given. |
| Repository name | University of Southern California Digital Library |
| Repository address | USC Digital Library, University of Southern California, University Park Campus MC 7002, 106 University Village, Los Angeles, California 90089-7002, USA |
| Repository email | cisadmin@usc.edu |
| Archival file | uscthesesreloadpub_Volume4/etd-HuLing-1164.pdf |
Description
| Title | Page 1 |
| Full text | ENSURING QUERY INTEGRITY FOR SPATIAL DATA IN THE CLOUD by Ling Hu A Dissertation Presented to the FACULTY OF THE USC GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Fulfillment of the Requirements for the Degree DOCTOR OF PHILOSOPHY (COMPUTER SCIENCE) December 2012 Copyright 2012 Ling Hu |
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