Handling privacy as contextual integrity in decentralized virtual communities: The PrivaCIAS framework

Krupa, Yann; Vercouter, Laurent

doi:10.3233/wia-2012-0235

Cited by 20 publications

(21 citation statements)

References 11 publications

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“…For example, normative multiagent systems have been applied to model the social dimension of cyber-physical systems 3 and to represent and reason about both top-down explicit and bottom-up implicit information-sharing norms. 5,6 In this issue, we have a further example of the application of normative multiagent systems to model, represent, and reason about information-sharing norms in sociotechnical systems. In particular, "Revani: Revising and Verifying Normative Specifications for Privacy" presents a formal representa- This is an exciting opportunity to consider research on cybersecurity for intelligent systems and agents from more than one angle, and we hope that you enjoy the results of this collaboration.…”

Section: Normsmentioning

confidence: 99%

Intelligent Cybersecurity Agents [Guest editors' introduction]

Such¹,

Criado²,

Vercouter³

et al. 2016

IEEE Intell. Syst.

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Section: Normsmentioning

confidence: 99%

Intelligent Cybersecurity Agents [Guest editors' introduction]

Such¹,

Criado²,

Vercouter³

et al. 2016

IEEE Intell. Syst.

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“…In a more recent work, Krupa et al [43] proposed a framework to enforce information sharing norms in an electronic institution where norms, contexts and roles are explicitly defined. While these approaches seem appropriate for the kind of domains described in [4] and [43], in OSNs there are not well-known contexts, there is not an explicit definition of the roles played by users and the exchange of information is governed by implicit information sharing norms 13 .…”

Section: Contextual Integrity Modelling and Reasoningmentioning

confidence: 99%

“…Computational models of contextual integrity have been recently proposed in the related literature [4,43]. Following contextual integrity theory, they assume the existence of welldefined contexts, in which individuals enact pre-defined roles and information sharing is governed by an explicit set of norms.…”

Section: Introductionmentioning

confidence: 99%

Implicit Contextual Integrity in Online Social Networks

Criado¹,

Such²

2015

Information Sciences

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Many real incidents demonstrate that users of Online Social Networks need mechanisms that help them manage their interactions by increasing the awareness of the different contexts that coexist in Online Social Networks and preventing them from exchanging inappropriate information in those contexts or disseminating sensitive information from some contexts to others. Contextual integrity is a privacy theory that conceptualises the appropriateness of information sharing based on the contexts in which this information is to be shared. Computational models of Contextual Integrity assume the existence of well-defined contexts, in which individuals enact pre-defined roles and information sharing is governed by an explicit set of norms. However, contexts in Online Social Networks are known to be implicit, unknown a priori and ever changing; users relationships are constantly evolving; and the information sharing norms are implicit. This makes current Contextual Integrity models not suitable for Online Social Networks. In this paper, we propose the first computational model of Implicit Contextual Integrity, presenting an information model and an Information Assistant Agent that uses the information model to learn implicit contexts, relationships and the information sharing norms to help users avoid inappropriate information exchanges and undesired information disseminations. Through an experimental evaluation, we validate the properties of Information Assistant Agents, which are shown to: infer the information sharing norms even if a small proportion of the users follow the norms and in presence of malicious users; help reduce the exchange of inappropriate information and the dissemination of sensitive information with only a partial view of the system and the information received and sent by their users; and minimise the burden to the users in terms of raising unnecessary alerts.Comment: Authors Version of the paper accepted for publication in the Information Sciences journal (http://www.journals.elsevier.com/information-sciences/

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“…-Finally, the fact that people share personal information raises privacy problems, exacerbated by the use of web technologies and its possibilities of information access, propagation and processing. Krupa et al [3] address this problem with a multi-agent approach to privacy preservation.…”

Section: Papers Of the Special Issuementioning

confidence: 99%