Name
Abstract | ||
|---|---|---|
Previous contributions have established a framework of privacy games that supports the representation of syntactic privacy notions such as anonymity, unlinkability, pseudonymity and unobservablility in the form of games. The intention is that, via such abstractions, the understanding of, and relationships between, privacy notions can be clarified. Further, an unambiguous understanding of adversarial actions is given. Yet, without any practical context, the potential benefits of these notions and games may be incomprehensible to system designers and software developers. We utilise these games in a case study based on recommender systems. Consequently, we show that the game-based definitions have the potential to interconnect privacy implications and can be utilised to reason about privacy. |
Year | Venue | Field |
|---|---|---|
2018 | 2018 16TH ANNUAL CONFERENCE ON PRIVACY, SECURITY AND TRUST (PST) | Recommender system,Internet privacy,Task analysis,Computer science,Computer security,Software,Anonymity,Information privacy,Syntax,Pseudonymity,Adversarial system |
DocType | ISSN | Citations |
Conference | 1712-364X | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Robin Ankele | 1 | 1 | 1.75 |
| Andrew Simpson | 2 | 282 | 49.37 |