On the Runtime Enforcement of Evolving Privacy Policies in Online Social Networks
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Online Social Networks have increased the need to understand well and extend the expressiveness of privacy policies. In particular, the need to be able to define and enforce dynamic (and recurrent) policies that are activated or deactivated by context (events) or timeouts. We propose an automaton-based approach to define and enforce such policies using runtime verification techniques. In this paper we discuss how our proposed solution addresses this problem without focussing on concrete technical details.
This research has been supported by: the Swedish funding agency SSF under the grant Data Driven Secure Business Intelligence, the Swedish Research Council (Vetenskapsrådet) under grant Nr. 2015-04154 (PolUser: Rich User-Controlled Privacy Policies), and the European ICT COST Action IC1402 (Runtime Verification beyond Monitoring (ARVI)).
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