Privacy, trust, and security in (mobile) networks; I use statistics, game theory, and algorithms.
Privacy is my main current interest:
In what ways do we disclose private information (through smartphone apps, IoT devices)?
How can we protect our information without going off the grid (by adding some sort of noise)?
Most importantly, how can we reason concretely and quantitatively about privacy attacks and defences (e.g. in order to provide privacy guarantees, or to monetize private information appropriately)?
I would be happy to supervise strong students in BSc projects, MSc theses, or PhD research on these or related topics (e.g. smartphone security, web browsing privacy, or more general social network privacy).
R. Shokri, G. Theodorakopoulos, and C. Troncoso.
Privacy Games Along Location Traces: A Game-Theoretic Framework for Optimizing Location Privacy.
ACM Transactions on Privacy and Security (TOPS), 19(4):1-31, December 2016. [ bib | pdf ]
G. Tsoukaneri, G. Theodorakopoulos, H. Leather, M. K. Marina.
On the Inference of User Paths from Anonymized Mobility Data.
1st IEEE European Symposium on Security and Privacy (EuroSP), March 2016. [ bib | pdf ]
R. Shokri, G. Theodorakopoulos, P. Papadimitratos, E. Kazemi, and J.-P. Hubaux.
Hiding in the Mobile Crowd: Location Privacy through Collaboration.
IEEE Transactions on Dependable and Secure Computing (TDSC), Special Issue on "Security and Privacy in Mobile Platforms", 11(3):266-279, May-June 2014. [ bib | pdf ]
George Theodorakopoulos received the Diploma degree from the National Technical University of Athens, Greece, in 2002, and the M.S. and Ph.D. degrees from the University of Maryland, College Park, MD, USA, in 2004 and 2007, all in electrical and computer engineering.
He is a Lecturer at the School of Computer Science & Informatics, Cardiff University, since 2012. From 2007 to 2011, he was a Senior Researcher at the Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland. He is a coauthor (with John Baras) of the book Path Problems in Networks (Morgan & Claypool, 2010).
He received the Best Paper award at the ACM Workshop on Wireless Security, October 2004, for "Trust evaluation in ad-hoc networks" and the 2007 IEEE ComSoc Leonard Abraham prize for "On trust models and trust evaluation metrics for ad hoc networks." He coauthored the paper "Quantifying Location Privacy," which was runner-up for the 2012 PET Award (Award for Outstanding Research in Privacy Enhancing Technologies).