Security through a different kind of obscurity

摘要: While a large body of research on image-based authentication has focused memorability, comparatively less attention been paid to the new security challenges these schemes may introduce. Because images can convey more information than text, be vulnerable educated guess attacks passwords. In this paper, we evaluate resilience recognition-based graphical scheme using distorted against two types through user studies. The first study, consisting 30 participants, investigates whether distortion prevents primarily based about individual users. second Amazon Mechanical Turk, mitigates risk collective Our results show that without are attacks, especially when target is known, and makes resilient attacks.