Proteus: A Semantic Context-Aware Adaptive Policy Model

Toninelli, Alessandra; Montanari, Rebecca; Kagal, Lalana; Lassila, O.

doi:10.1109/policy.2007.40

Cited by 34 publications

(20 citation statements)

References 11 publications

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“…expressed using a descriptive language called PsSF, based on SWRL 26 . They distinguish only Read and Update actions.…”

Section: Context-unaware Access Control Modelsmentioning

confidence: 99%

“…Toninelli et al [25,26] follow two design guidelines, which guide also the construction of the framework proposed in this paper: context-awareness to control resource access, and semantic technologies for context and policy specification. What differs from our approach is, on one hand, the application scenario, spontaneous coalitions in their case and the Social Semantic Web in our approach, and, on the other hand, the semantic technology adopted, i.e., a rulebased approach with description logic in their case and the SPARQL 1.1 language in our case.…”

Section: Context-aware Access Control Modelsmentioning

confidence: 99%

“…Other access strategies are out of the scope of this work. Despite the amount of proposals of access control models [1,4,[13][14][15][16][17]19,20,25,26], none of them presents a Social Semantic access control model based on Semantic Web languages only, a pluggable and easy-to-integrate filter for generic SPARQL endpoints without modifying the endpoint itself, providing access conditions from triple granularity level up to dataset granularity level, and taking into account the social tags assigned by the users to their data and other users and the contextual information. Moreover, we rely on W3C recommendations only, as we do not introduce any new language or technology.…”

Section: Introductionmentioning

confidence: 99%

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A Social Semantic Web Access Control Model

et al. 2012

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In the Social Web, the users are invited to publish a lot of personal information. These data can be easily retrieved, and sometimes reused, without providing the users with fine-grained access control mechanisms able to restrict the access to their profiles, and data. In this paper, we present an access control model for the Social Semantic Web. Our model is grounded on the Social Semantic SPARQL Security for Access Control vocabulary (S4AC). This vocabulary can be used by the users to define their own terms of access to the data. We define an algorithm, implemented in our Access Control Manager, which allows to check, after a client query, to which extent the data are available, depending on the user's profile. The evaluation of the access conditions is related to different features, such as the social tags associated with the data, and the user's contextual information, such as being part of a group, being located in a specific place. We provide an evaluation of the overhead introduced by our Access Control Manager, and we show that access control in the Social Semantic Web comes with a cost, but this is acceptable given the benefits of data protection.

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“…expressed using a descriptive language called PsSF, based on SWRL 26 . They distinguish only Read and Update actions.…”

Section: Context-unaware Access Control Modelsmentioning

confidence: 99%

Section: Context-aware Access Control Modelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Social Semantic Web Access Control Model

et al. 2012

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“…Context-aware access control strategies fall in two main categories. The first category is the one of techniques aimed at granting or denying access to resources considering the context of the requesting user and of the resource (see, e.g., [19][20][21]). The second category is the one of techniques aimed at controlling the release of user's context data on the basis of the context of the requesting entity and of the user herself.…”

Section: Network and Cryptographic Protocolsmentioning

confidence: 99%

Privacy in Georeferenced Context-Aware Services: A Survey

Riboni

Pareschi

Bettini

2009

Privacy in Location-Based Applications

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Abstract. Location based services (LBS) are a specific instance of a broader class of Internet services that are predicted to become popular in a near future: context-aware services. The privacy concerns that LBS have raised are likely to become even more serious when several context data, other than location and time, are sent to service providers as part of an Internet request. This paper provides a classification and a brief survey of the privacy preservation techniques that have been proposed for this type of services. After identifying the benefits and shortcomings of each class of techniques, the paper proposes a combined approach to achieve a more comprehensive solution for privacy preservation in georeferenced context-aware services.

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“…To improve the ways in which data is accessed and presented, the system is "policy-aware", allowing all data to be controlled by a set of (arbitrarily complex) context-adjusted policies [21], [22].…”

Section: A General Data Browsingmentioning

confidence: 99%