TROL
The project involved designing a privacy safe query language for analyzing network traces. The language design was based on differential privacy where identity of individual users was protected by principles of K-anonymity, i.e. the output of any search query on network traces revealed only the usage statistics, without compromising/revealing or identifying any individual user. This project was conceptualized in times precursor to such as google analytics !!
Center for Computer Systems Security (CCSS) at USC's Information Sciences Institute (September 2010- May 2012 )