Projects per year
The Android pattern lock screen is a popular mechanism offered for user authentication on smartphones and tablets. It is a graphical password scheme that provides usability and memorability. Despite the wide password space of the mechanism, there exist well-known techniques (such as smudge attacks) questioning its security strengths. With this study we aim to demonstrate that if we use previous knowledge, which describes the results of biased password input, in addition to a method that extracts traces of residues from a mobile device screen, we will be able to develop a lightweight automated tool capable to predict the user’s chosen password.
|Number of pages||2|
|Publication status||Published - Jul 2014|
|Event||7th ACM Conference on Security and Privacy in Wireless and Mobile Networks - Oxford, United Kingdom|
Duration: 23 Jul 2014 → 25 Jul 2014
|Conference||7th ACM Conference on Security and Privacy in Wireless and Mobile Networks|
|Period||23/07/14 → 25/07/14|
Andriotis, P., Tryfonas, T., & Yu, Z. (2014). POSTER: Breaking the Android Pattern Lock Screen with Neural Networks and Smudge Attacks. 1-2. Poster session presented at 7th ACM Conference on Security and Privacy in Wireless and Mobile Networks, Oxford, United Kingdom.