Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/471515
Title: | Cooperative Game Theory Based Privacy Preserving Techniques for Data Publishing |
Researcher: | Srinivasa Chakravarthy Lade |
Guide(s): | V Valli Kumari |
Keywords: | Computer Science Computer Science Software Engineering Engineering and Technology |
University: | Andhra University |
Completed Date: | 2014 |
Abstract: | quotIn recent years, the nature of the behaviour of an adversary is a witness for the newlinedrastic increase of the need for new mechanisms demanding Privacy Preserving newlineData Publishing (PPDP). Meeting this demand is quite challenging since privacy newlineis subject to several constraints such as adversary background knowledge, information newlineloss, and utility. For instance, in record linkage problem of privacy an newlineadversary can easily identify the individual s sensitive information like age and newlinedisease by linking the published data with other data sources.quot newline newline |
Pagination: | 157 pg |
URI: | http://hdl.handle.net/10603/471515 |
Appears in Departments: | Department of Computer Science & Systems Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 1.32 MB | Adobe PDF | View/Open |
02_prelim pages.pdf | 1.37 MB | Adobe PDF | View/Open | |
03_content.pdf | 227.94 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 211.31 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 497.65 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 489.58 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 288.19 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 452.3 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 734.19 kB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 551.75 kB | Adobe PDF | View/Open | |
11_chapter 7.pdf | 1.69 MB | Adobe PDF | View/Open | |
12_annexures.pdf | 395.84 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 2.82 MB | Adobe PDF | View/Open |
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