This project describes an authentication technique that is shoulder-surfing
resistant. Shoulder surfing is an attack in which an attacker can get access to
private information by observing the user’s interaction with a terminal, or by
using recording tools to record the user interaction and study the obtained
data, with the objective of obtaining unauthorized access to a target user’s
personal information. The technique described here relies on gestural analysis
coupled with a secondary channel of authentication that uses button pressing.
The thesis presents and evaluates multiple alternative algorithms for gesture
analysis, and furthermore assesses the effectiveness of the technique.Universidade da Madeir
