Arşiv ve Dokümantasyon Merkezi
Dijital Arşivi

Argumentation for protecting users' privacy in online social networks

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dc.contributor Graduate Program in Computer Engineering.
dc.contributor.advisor Yolum, Pınar.
dc.contributor.author Yağlıkçı, Nefise Gizem.
dc.date.accessioned 2023-03-16T10:02:21Z
dc.date.available 2023-03-16T10:02:21Z
dc.date.issued 2016.
dc.identifier.other CMPE 2016 Y34
dc.identifier.uri http://digitalarchive.boun.edu.tr/handle/123456789/12316
dc.description.abstract Preserving privacy in online social networks (OSNs) is becoming increasingly important as more people expose their personal information in those networks. A social network user can easily share a post concerning other users. However, privacy constraints of these relevant users may be di erent from each other so that privacy violations occur. Therefore, all relevant users must be able to engage in a discussion and express themselves, so that they can protect their privacy. We propose PriArg to enable relevant users discuss on a post using Assumption- Based Argumentation (ABA). We present each user in an OSN with an agent, which is equipped with an ontology. Ontologies involve the social network knowledge of users as well as their privacy constraints. Hence, agents are fully aware of the privacy constraints of their user and can act on behalf of them. When an agent wants to share a post, an argumentation session starts between the agent and other relevant agents. They provide each other arguments to express themselves and to convince other agents that their claim is true. At the end of the argumentation, we use an ABA engine to nd whether sharing the post is justi ed according to the provided arguments. Agents may not have necessary information in their ontology to support their arguments. In this case, they can ask other agents in the social network for information. We evaluate our approach by showing its applicability with the real world scenarios. Moreover, we conduct a survey and an interview to compare the PriArg results with user expectations. At last, we compare the related work in the literature with PriArg.
dc.format.extent 30 cm.
dc.publisher Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2016.
dc.subject.lcsh Online social networks.
dc.title Argumentation for protecting users' privacy in online social networks
dc.format.pages xiv, 74 leaves ;


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