WOOT '14 - Automated Reverse Engineering using Lego®

Automated Reverse Engineering using Lego®

Georg Chalupar and Stefan Peherstorfer, University of Applied Sciences Upper Austria; Erik Poll and Joeri de Ruiter, Radboud University Nijmegen

State machine learning is a useful technique for automating reverse engineering. In essence, it involves fuzzing different sequences of inputs for a system. We show that this technique can be successfully used to reverse engineer hand-held smartcard readers for Internet banking, by using a Lego robot to operate these devices. In particular, the state machines …

austria automated engineering fuzzing inputs lego machine machine learning poll reverse reverse engineering state system university