Advisors : Cristian Ene and Laurent Mounier
Measuring the information leakage of a system is very important for security. From side-channels to biases in random number generators, quantifying how much information a system leaks about its secret inputs is crucial for preventing adversaries from exploiting it; this has been the focus of intensive research efforts in the areas of privacy and of quantitative information flow (QIF).
The goal of this internship is :
- to develop an algorithm able to quantify the information leaked by an application about the secret in a realistic security model that takes into account a very powerful adversary, able to get side-channel informations about the execution of the application (for example, the branchings taken during an execution)
- to implement this algorithm via abstract interpretation, for example by extending the probabilistic polyhedra model.
More detail is available in the attached pdf description.
