Name
Abstract | ||
|---|---|---|
This is a preliminary work to extend SQL to support user privacy in social networks. The proposal is to extend the data definition and data manipulation languages to capture privacy-preserved mandatory and discretionary access controls, respectively. Here, we focus on common user privacy requirements, such as purpose, generalization, and retention, used by social networks desiring to support privacy. Hence, each user can discretionarily control the set of privileges over the view representing their profile. We plan to support the extended language with underlying catalogues, algorithms, and prototypes. The objective is to develop a low-cost mechanism to preserve privacy in databases,with applications in social networks, e-health, e-business, e-government, etc. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ASONAM.2009.60 | ASONAM |
Keywords | Field | DocType |
e-government,e-business,sql privacy model,structural analysis,social networks,so-called blogosphere,a-list phenomenon,mandatory access control,popular communication instrument,data definition languages,access controls,e-health,authorisation,social networking (online),discretionary access control,data manipulation languages,user privacy,sql,e business,e government,computer science,data privacy,data manipulation language,access control,social network,security,databases | SQL,Data mining,World Wide Web,Privacy by Design,Computer science,Data definition language,Mandatory access control,Discretionary access control,Data manipulation language,Information privacy,Privacy software | Conference |
ISBN | Citations | PageRank |
978-0-7695-3689-7 | 1 | 0.38 |
References | Authors | |
9 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maryam Majedi | 1 | 41 | 3.43 |
| Kambiz Ghazinour | 2 | 89 | 11.91 |
| Amir H. Chinaei | 3 | 27 | 3.69 |
| Ken Barker | 4 | 834 | 83.23 |