An obfuscation framework for controlling value of information during sharing
暂无分享,去创建一个
Mani B. Srivastava | Chatschik Bisdikian | Lance M. Kaplan | Supriyo Chakraborty | Kasturi Rangan Raghavan
[1] Kun Liu,et al. Random projection-based multiplicative data perturbation for privacy preserving distributed data mining , 2006, IEEE Transactions on Knowledge and Data Engineering.
[2] Thomas M. Cover,et al. Elements of Information Theory , 2005 .
[3] Mani B. Srivastava,et al. Demystifying privacy in sensory data: A QoI based approach , 2011, 2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops).
[4] Reality Mining , 2014, Encyclopedia of Social Network Analysis and Mining.
[5] H. Vincent Poor,et al. A theory of utility and privacy of data sources , 2010, 2010 IEEE International Symposium on Information Theory.
[6] Suman Nath,et al. Privacy-aware regression modeling of participatory sensing data , 2010, SenSys '10.
[7] Mani B. Srivastava,et al. Building principles for a quality of information specification for sensor information , 2009, 2009 12th International Conference on Information Fusion.
[8] Mani B. Srivastava,et al. Privacy risks emerging from the adoption of innocuous wearable sensors in the mobile environment , 2011, CHI.
[9] Deborah Estrin,et al. Using mobile phones to determine transportation modes , 2010, TOSN.
[10] Ling Bao,et al. Activity Recognition from User-Annotated Acceleration Data , 2004, Pervasive.