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Privacy preserving data stores for m...
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Malhotra, Ankit.
Privacy preserving data stores for mobile platforms.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Privacy preserving data stores for mobile platforms.
Author:
Malhotra, Ankit.
Description:
125 p.
Notes:
Source: Masters Abstracts International, Volume: 53-04.
Notes:
Adviser: Murat Kantarcioglu.
Contained By:
Masters Abstracts International53-04(E).
Subject:
Computer science.
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1562265
ISBN:
9781321091175
Privacy preserving data stores for mobile platforms.
Malhotra, Ankit.
Privacy preserving data stores for mobile platforms.
- 125 p.
Source: Masters Abstracts International, Volume: 53-04.
Thesis (M.S.)--The University of Texas at Dallas, 2014.
This item must not be sold to any third party vendors.
This is a comprehensive study about creating secure data stores for mobile platforms such as iOS, Android, Windows OS, etc., that would help a user by securely storing his/her entire life's events and data thereby assisting him/her with querying over them. These queries can be based on dates or a specific geographical location. Data stores could either be local (a database) or on cloud and will be under a complete ownership of the user. We will present this study taking iOS as an example platform of implementation with Dropbox serving as a platform for cloud storage and SQLite serving as a platform for local storage.
ISBN: 9781321091175Subjects--Topical Terms:
199325
Computer science.
Privacy preserving data stores for mobile platforms.
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Privacy preserving data stores for mobile platforms.
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Source: Masters Abstracts International, Volume: 53-04.
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Adviser: Murat Kantarcioglu.
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Thesis (M.S.)--The University of Texas at Dallas, 2014.
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This is a comprehensive study about creating secure data stores for mobile platforms such as iOS, Android, Windows OS, etc., that would help a user by securely storing his/her entire life's events and data thereby assisting him/her with querying over them. These queries can be based on dates or a specific geographical location. Data stores could either be local (a database) or on cloud and will be under a complete ownership of the user. We will present this study taking iOS as an example platform of implementation with Dropbox serving as a platform for cloud storage and SQLite serving as a platform for local storage.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1562265
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