There are some critical privacy concerns in the current online social networks (OSNs). Users' information is disclosed to different entities that they were not supposed to access. Furthermore, the notion of friendship is inadequate in OSNs since the degree of social relationships between users dynamically changes over the time. Additionally, users may define similar privacy settings for their f...

in 2003, waters, felten and sahai introduced a novel cryptographic primitive called incomparable public key cryptosystem to protect anonymity of message receivers in an untrusted network. in this setting, a receiver is allowed to create many anonymous identities for himself without divulging the fact that all these identities refer to the same receiver. recently, lee and lim improved the soluti...

Recent advances in mobile computing enable many new applications, yet at the same time create privacy implications caused by the increasing amount of data that becomes available. This thesis will explore the possibilities of wireless-enabled portable devices and their attending privacy implications. We will describe how such a device containing personal information about the musical preferences...

Popularity of the social media like Facebook, Flickr, LinkedIn and others has increasing everyday due its various features provided. Some of the features are to collaborate with friends, good and friendly user interface to share data and multimedia content at ease. Data uploaded to Social network by the user are at high risk of vulnerability. User uploaded data on the social media does play vit...

In machine learning, boosting is one of the most popular methods that designed to combine multiple base learners into a superior one. The well-known Boosted Decision Tree classifier has been widely adopted in data mining and pattern recognition. With emerging challenge privacy, personal images, browsing history, financial reports, which are held by individuals entities more likely contain sensi...