An Access Control Framework for the Web of Data

Sacco, Owen; Passant, Alexandre; Decker, Stefan

doi:10.1109/trustcom.2011.59

Cited by 23 publications

(24 citation statements)

References 8 publications

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“…As future work, we will be implementing these trust assertions within our Privacy Preference Framework [12] in order to enforce privacy preferences based on these trust assertions.…”

Section: Discussionmentioning

confidence: 99%

"I Like" - Analysing Interactions within Social Networks to Assert the Trustworthiness of Users, Sources and Content

Sacco

Breslin

2013

2013 International Conference on Social Computing

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Online Social Network platforms provide users to create sensitive personal information such as user profiles that can be shared with other users within their social graph. Whilst these sites provide users with generic privacy settings to control who can be granted access, these platforms assume that all users in a social graph share the same level of trust. Moreover, these platforms also assume that what is shared within the Social Network can be trusted. Therefore, Social Networks do not take into consideration the notion of trust whilst users share or consume information. In this work, we conduct a user study to analyse the trends of interactions amongst users. We also analyse in detail the user's perception of trust whilst interacting within Social Networks. The results from this user study will help us understand how trust values can be asserted for users, sources and content by using information from within Social Networks.

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“…As future work, we will be implementing these trust assertions within our Privacy Preference Framework [12] in order to enforce privacy preferences based on these trust assertions.…”

Section: Discussionmentioning

confidence: 99%

"I Like" - Analysing Interactions within Social Networks to Assert the Trustworthiness of Users, Sources and Content

Sacco

Breslin

2013

2013 International Conference on Social Computing

Self Cite

View full text Add to dashboard Cite

show abstract

“…One reason for this, could be found in the fact that provenance data are stored in relational databases or RDF stores, with the access control left to the security mechanisms provided by these technologies. Security for database technologies has been extensively studied in the past (see [8] for an overview) and the increasing need for maintaining semantic resources has developed a large set of works focused on security for RDF data [9,10,11,12,13,14,15,16,17,18,19].…”

Section: Related Workmentioning

confidence: 99%

“…It includes also a formal semantic for obtaining the access decision, and some experiment that shown a good scalability performance in relation of different size parameters. Another evolution step in formalizing the access control can be found in [18] where Privacy Preference Ontology (PPO) is defined for allowing users to specify fine-grained privacy preferences for restricting (or granting) access to specific (social) data, and MyPrivacyManager tool can be used to filter data according to preferences described on PPO.…”

Section: Related Workmentioning

confidence: 99%

“…XACML cannot be used to define fine-grained access control for structured data [18]. It is well-known that XACML is very verbose and can become unreadable with few different polices [19,15].…”

Section: Related Workmentioning

confidence: 99%

“…It is well-known that XACML is very verbose and can become unreadable with few different polices [19,15]. It also, lacks a formal semantics for policy combination algorithms [4,18]. Provenance data imposes some important requirements for access control.…”

Section: Related Workmentioning

confidence: 99%

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