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Facebook has a very flexible privacy and security policy specification that is based on intensional and extensional categories of user relationships. The former is fixed by Facebook but controlled by users whereas the latter is facilitated by Facebook with limited control to users. Relations and flows among categories is through a well-defined set of protocols and is subjected to the topology of underlying social graph that continuously evolves by consuming user interactions. In this paper, we analyze how far the specified privacy policies of the users in Facebook preserve the standard interpretation of the policies. That is, we investigate whether Facebook users really preserve their privacy as they understand it or certain of their innocuous actions leak information contrary to their privacy settings. We demonstrate the kind of possible breaches and discuss how plausibly they could be set right without compromising performance. The breaches are validated through experiments on the Facebook.
[INFO] Computer Science [cs]
[INFO] Computer Science [cs]
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 14 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |