Name
Abstract | ||
|---|---|---|
Contextual privacy is an essential concept in social software communication. Managing privacy in social software strongly depends on the context to avoid misappropriation of data. The sheer amount of data and large audiences make context control complex. Current contextual privacy management approaches can be either too complex to use, or too simple to offer fine-grained control. In many cases, it is challenging to strike a balance between effective control and ease-of-use. Moreover, current approaches are insufficient to mitigate data misappropriation attacks. In this article, we analyse contextual privacy in relation to context and communication. We examine a relevant contextual privacy management framework based on the maintenance of the interpretation of data. We propose an architecture based on the utilisation of artificial intelligence mechanisms. We conceptually analyse the usability aspects of the proposed architecture, and present how the framework enhances communication and privacy. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/SmartCity.2015.98 | 2015 IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity) |
Keywords | Field | DocType |
artificial intelligence mechanisms,data interpretation,data maintenance,contextual privacy management framework,contextual privacy,social software communication,privacy through interpretation management,contextual healing | Internet privacy,Architecture,Privacy by Design,Computer science,Usability,Social software,Misappropriation,Software,Information privacy,Privacy software | Conference |
Citations | PageRank | References |
0 | 0.34 | 16 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rula Sayaf | 1 | 7 | 1.46 |
| Sören Preibusch | 2 | 8 | 0.81 |
| Dave Clarke | 3 | 416 | 26.19 |