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Fuzzy logic decision based collaborative privacy management framework for online social networks  
Yazarlar (3)
Dr. Öğr. Üyesi Gülsüm AKKUZU KAYA Dr. Öğr. Üyesi Gülsüm AKKUZU KAYA
Kırşehir Ahi Evran Üniversitesi, Türkiye
Benjamin Aziz
University of Portsmouth, United Kingdom
Mo Adda
University of Portsmouth, United Kingdom
Devamını Göster
Özet
Online Social Networks (OSNs) have become one of the most popular implement for interacting with people all over the world and sharing data with them. These data sometimes may be a co-owned data which involves multiple users, sharing co-owned data can cause privacy violation if co-owners are not happy with the owner's sharing privacy settings. To tackle privacy issues on co-owned data, collaborative privacy management has become a popular research area in recent years. In this work, we provide a fuzzy logic decision based collaborative privacy management framework for OSNs. We use data sensitivity value and confidence value in targeted group as input variables of fuzzy system. We also use trust values between users since our framework needs to calculate trust loss and gains for reputation value.
Anahtar Kelimeler
Data Security Features | Fuzzy Logic | Online Social Networks | Privacy Management
Bildiri Türü Tebliğ/Bildiri
Bildiri Alt Türü Tam Metin Olarak Yayımlanan Tebliğ (Uluslararası Kongre/Sempozyum)
Bildiri Niteliği
Bildiri Dili İngilizce
Kongre Adı Icissp 2019 Proceedings of the 5th International Conference on Information Systems Security and Privacy
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Basıldığı Şehir