About Me

I am Riccardo Spolaor, a Ph.D. student in Brain, Mind, and Computer Science at the University of Padua, Italy. I obtained his Master’s Degree in Computer Science in 2014 from the same university, with a MSc Thesis about a smartphone privacy attack inferring user actions via traffic analysis. In November 2014, I started my Ph.D. under the supervision of Prof. Mauro Conti and the co-supervision of Prof. Luciano Gamberini and Prof. Giuseppe Sartori. I have been Visiting Ph.D. Student at Radboud University (2015), Ruhr-Universitat Bochum (2016), and University of Oxford (2016, 2017).

My main research interests are privacy and security issues on mobile devices. In particular, I apply machine learning techniques to infer user information relying on side-channel analysis. Most of the research that I carried out up to now is about the application of machine learning classifiers to network traffic and energy consumption traces of mobile devices.

Recent Selected Publications

Vincent F. Taylor, Riccardo Spolaor, Mauro Conti and Ivan Martinovic.
Robust Smartphone App Identification Via Encrypted Network Traffic Analysis.
In (IEEE) Transactions on Information Forensics & Security,, in press, 2017.
(JCR IF 2016: 4.332; IT-ANVUR Class 1)

Mirage: Toward a Stealthier and Modular Malware Analysis Sandbox for Android.
Lorenzo Bordoni, Mauro Conti and Riccardo Spolaor.
In Proceedings of the European Symposium on Research in Computer Security
(ESORICS 2017)
, in press, Oslo, Norway. September 11-13, 2017.
(acceptance rate 15.88 %)

Riccardo Spolaor, Laila Abudahi, Veelasha Moonsamy, Mauro Conti and Radha Poovendran.
No Free Charge Theorem: a Covert Channel via USB Charging Cable on Mobile Devices.
In Proceedings of the 15th International Conference on Applied Cryptography and Network Security
(ACNS 2017)
, in press, Kanazawa, Japan, June 10-12, 2017.