| Title | The Anti-Data-Mining (ADM) Framework - Better Privacy on Online Social Networks and Beyond |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Mahmood, Shah |
| Conference Name | 2019 IEEE International Conference on Big Data (Big Data) |
| Keywords | ADM, Adversarial Face Detection, Adversarial Face Recognition, Adversarial Machine Learning, adversaries, Advertising Privacy, Anti-Data-Mining, anti-data-mining principle, Big Data, big data privacy, big data security, cloud computing, Cloud Privacy, Cloud Security, data centers, data mining, data privacy, deception, disinformation, eavesdropping governments, enhanced privacy, enormous growth, Facebook, Financial Terminal Privacy, financial terminal providers, Financial Terminal Security, Future of Privacy, information accumulators, Metrics, New Paradigms for Privacy, obfuscation, Obfuscation for Privacy, online social networks, privacy, Privacy against Ad Networks, Privacy against timing attacks, pubcrawl, Resiliency, Scalability, Search Engine Privacy, search engines, security, sensitive data suppression, social network, social networking (online), social-bots, unprecedented growth, user privacy, user privacy in the cloud, users privacy |
| Abstract | 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. |
| DOI | 10.1109/BigData47090.2019.9006050 |
| Citation Key | mahmood_anti-data-mining_2019 |
The Anti-Data-Mining (ADM) Framework - Better Privacy on Online Social Networks and Beyond