Biblio
Filters: Keyword is Advertising Privacy [Clear All Filters]
The Anti-Data-Mining (ADM) Framework - Better Privacy on Online Social Networks and Beyond. 2019 IEEE International Conference on Big Data (Big Data). :5780–5788.
.
2019. The unprecedented and enormous growth of cloud computing, especially online social networks, has resulted in numerous incidents of the loss of users' privacy. In this paper, we provide a framework, based on our anti-data-mining (ADM) principle, to enhance users' privacy against adversaries including: online social networks; search engines; financial terminal providers; ad networks; eavesdropping governments; and other parties who can monitor users' content from the point where the content leaves users' computers to within the data centers of these information accumulators. To achieve this goal, our framework proactively uses the principles of suppression of sensitive data and disinformation. Moreover, we use social-bots in a novel way for enhanced privacy and provide users' with plausible deniability for their photos, audio, and video content uploaded online.