By Simone Fischer-Hübner, Costas Lambrinoudakis, Javier López
This booklet constitutes the refereed court cases of the twelfth overseas convention on belief, privateness and safety in electronic enterprise, TrustBus 2015, held in Valencia, Spain, in September 2015 along with DEXA 2015. The 17 revised complete papers offered have been rigorously reviewed and chosen from forty five submissions. The papers are prepared within the following topical sections: entry regulate; belief and attractiveness in pervasive environments; belief and privateness matters in cellular environments; defense and privateness within the cloud; safety policies/usability matters; and privateness necessities and privateness audit.
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Extra info for Trust, Privacy and Security in Digital Business: 12th International Conference, TrustBus 2015, Valencia, Spain, September 1-2, 2015, Proceedings
In the rule attribute, the delegator can deﬁne limitations on the delegation in order to grant a limited access on a given resource. e. the number of times or levels a resource can be delegated) by setting a value of an attribute of the policy, which is reduced at each delegation level and added to the policy set of the delegatee. The access rights cannot be further delegated if the attribute value reaches zero. Fig. 2. Examples of policies and access request The policies deﬁned by the delegator for the different users on the same resource are managed in a document called a policy set.
In other cases, reviews could be directly declined by reviewers, or rejected by the owner of the recommended service/product since inappropriate. (a) Dark blue cells display reviews existing on Tripadvisor at the date of June 20, 2014. Light blue cells are reviews that disappeared from the website after September 10, 2013. (b) Only reviews disappeared after September 10, 2013 Fig. 3. Diﬀerences between two “snapshots” of Tripadvisor taken on September 10, 2013 and June 20, 2014 In the following, we analyze removed reviews in Tripadvisor by leveraging our matrix-based approach.
1(a), we can neatly see two diﬀerent cases: (1) there are certain hotels that no longer have reviews prior 42 A. Colantonio et al. Fig. 4. An example of removed reviews. No hotels with more than 10 removed reviews. No hotels with single-removed-review users. to a certain date (represented by long, vertical light-blue lines in the picture); (2) there are very sparse removed reviews (represented by small light-blue dots in the matrix). Figure 3(b) depicts only removed reviews so that we can visualize sparse reviews more clearly.