VGU RESEARCH REPOSITORY
Please use this identifier to cite or link to this item:
https://epub.vgu.edu.vn/handle/dlibvgu/504| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Nguyen Tuan Lam | en_US |
| dc.date.accessioned | 2020-03-12T17:02:22Z | - |
| dc.date.available | 2020-03-12T17:02:22Z | - |
| dc.date.issued | 2018 | - |
| dc.identifier.uri | http://epub.vgu.edu.vn/handle/dlibvgu/504 | - |
| dc.description.abstract | Nowadays, social networking is becoming more and more popular which leads to the increasing of privacy risks. In this thesis, we explore the best way to apply privacy policies in a social network. We discuss how authentication can protect privacy in social networks and evaluate the methods for implementing authorization in a social network web app. My findings show that authorization should be implemented at the database level which can be achieved by rewriting SQL queries into their security-aware version. To illustrate my evaluation, we create a web app that provides the essential features of a social network and the relevant privacy policies for these features, which are then enforced through authentication and the aforementioned authorization model. | - |
| dc.language.iso | en | - |
| dc.publisher | Vietnamese-German University | - |
| dc.rights | Attribution-NonCommercial 4.0 International | * |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc/4.0/ | * |
| dc.subject | Social network | - |
| dc.subject | Privacy risk | - |
| dc.subject | Authorization | - |
| dc.subject | Authentication | - |
| dc.subject | SQL queries | - |
| dc.subject | Security | - |
| dc.subject | Access control | - |
| dc.title | A privacy-aware social network | - |
| dc.type | Thesis | - |
| item.grantfulltext | restricted | - |
| item.fulltext | With Fulltext | - |
| item.languageiso639-1 | other | - |
| Appears in Collections: | Computer Science (CS) | |
Files in This Item:
| File | Description | Size | Format | Existing users please Login |
|---|---|---|---|---|
| A Privacy-Aware Social Network.pdf | 917.85 kB | Adobe PDF |
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