DocumentCode
3281315
Title
Twins (1): Extending SQL to Support Corporation Privacy Policies in Social Networks
Author
Pun, Sampson ; Chinaei, Amir H. ; Barker, Ken
Author_Institution
Univ. of Calgary, Calgary, AB, Canada
fYear
2009
fDate
20-22 July 2009
Firstpage
306
Lastpage
311
Abstract
Twins are two extensions onto SQL to support user privacy in social networks: one is corporate-based and the other is user-centric, corresponding to well-known mandatory access control and discretionary access control models, respectively. This paper illustrates the former. The approach adds some predicates to the CREATE TABLE command to capture common corporate-based user privacy requirements, such as purpose, generalization, and retention, required by social networks desiring to support privacy. Hence, the corporation, when creating the underlying databases, defines what the mandatory privacy policies are with which all users must comply. The extension is supported with underlying catalogues, algorithms, and prototype. The key contribution is a low-cost mechanism to develop new systems-that are privacy-preserved-and to transform legacy database MAC models to their privacy preserving equivalents. Although our examples are from social networks, the results apply to data security and user privacy of other enterprises too.
Keywords
SQL; authorisation; data privacy; relational databases; social networking (online); CREATE TABLE command; SQL; corporation privacy policy; data security; discretionary access control; legacy database; low-cost mechanism; mandatory access control; social network; user privacy; Access control; Data privacy; Data security; Database languages; Facebook; Information security; MySpace; Proposals; Prototypes; Social network services; Mandatory Access Control; Relational Models; Security and Privacy Policies; Social Networks; e-Business;
fLanguage
English
Publisher
ieee
Conference_Titel
Social Network Analysis and Mining, 2009. ASONAM '09. International Conference on Advances in
Conference_Location
Athens
Print_ISBN
978-0-7695-3689-7
Type
conf
DOI
10.1109/ASONAM.2009.76
Filename
5231855
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