A Quality of Context-Aware Approach to Access Control in Pervasive Environments

Toninelli, Alessandra; Corradi, Antonio; Montanari, Rebecca

doi:10.1007/978-3-642-01802-2_18

Cited by 18 publications

(22 citation statements)

References 11 publications

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“…Intel Xeon E5540, Quad Core 2.53 GHz machine with 48 GB of memory, using the Berlin SPARQL Benchmark (BSBM) dataset 3.1 24 .…”

Section: Discussionmentioning

confidence: 99%

“…At the same time, also the other contextual information like the time of the query or the location of the consumer when she is querying the SPARQL endpoint have to be checked. We plan to follow the example of Toninelli et al [24].…”

Section: Discussionmentioning

confidence: 99%

“…Finally, their model is not seen as a pluggable framework on top of generic SPARQL endpoints. Toninelli et al [24], instead, present a quality of context aware approach to access control in the Proteus policy framework. In this paper, we do not take into account the problem of the quality of the contextual information, and this is left for future work.…”

Section: Context-aware Access Control Modelsmentioning

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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“…Intel Xeon E5540, Quad Core 2.53 GHz machine with 48 GB of memory, using the Berlin SPARQL Benchmark (BSBM) dataset 3.1 24 .…”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Context-aware Access Control Modelsmentioning

confidence: 99%

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A Social Semantic Web Access Control Model

et al. 2012

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“…Among the approaches to context models found in the literature, some of the authors used QoC. These authors emphasized models that use graphical notation (Henricksen, Indulska, & Rakotonirainy, 2002); (Filho & Martin, 2008), XML (Extensible Markup Language) (Manzoor et al, 2008), UML (Unified Modelling Language) (Neisse, Wegdam, & Sinderen, 2008) and especially the use of ontologies and OWL (Ontology Web Language) (Tang, Yang, & Wu, 2007), (Toninelli & Corradi, 2009), (Filho et al, 2010). The use of ontologies for modeling context and QoC allows for reuse and sharing of context information.…”

Section: Context Representation Models With Qocmentioning

confidence: 99%

“…In a total of twenty-one papers, some other specific topics were highlighted, such as: resolution of conflicts and inconsistencies (Becker et al, 2010), (Xu, Ma, & Cao, 2012), (Zheng, Wang, & Ben, 2012); some aspects related to security (access control, privacy, reliability) (Filho & Martin, 2008), (Neisse et al, 2008), (Toninelli & Corradi, 2009); distribution of context data (Corradi et al, 2010), (Bellavista et al, 2012); and agent and multi-agent approaches (Zheng et al, 2012). Exploring each of these topics would certainly pose many challenges to be investigated.…”

Section: Other Topicsmentioning

confidence: 99%

Context management: toward assessing quality of context parameters in a ubiquitous ambient assisted living environment

Nazário

Dantas

Todesco

2014

JISTEM

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This paper provides an approach to assessing Quality of Context (QoC) parameters in a ubiquitous Ambient Assisted Living (AAL) environment. Initially, the study presents a literature review on QoC, generating taxonomy. Then it introduces the context management architecture used. The proposal is verified with the Siafu simulator in an AAL scenario where the user's health is monitored with information about blood pressure, heart rate and body temperature. Considering some parameters, the proposed QoC assessment allows verifying the extent to which the context information is up-to-date, valid, accurate, complete and significant. The implementation of this proposal might mean a big social impact and a technological innovation applied to AAL, at the disposal and support of a significant number of individuals such as elderly or sick people, and with a more precise technology.

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A Quality Driven Approach for Provisioning Context Information to Adaptive Context-Aware Services

Badidi

2014

Advances in Intelligent Systems and Computing

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A Quality of Context-Aware Approach to Access Control in Pervasive Environments

Cited by 18 publications

References 11 publications

A Social Semantic Web Access Control Model

A Social Semantic Web Access Control Model

Context management: toward assessing quality of context parameters in a ubiquitous ambient assisted living environment

A Quality Driven Approach for Provisioning Context Information to Adaptive Context-Aware Services

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