POSTER: Breaking the Android Pattern Lock Screen with Neural Networks and Smudge Attacks

Panagiotis Andriotis, Theo Tryfonas, Zhaoqian Yu

Research output: Contribution to conferenceConference Poster

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Abstract

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.
Original languageEnglish
Pages1-2
Number of pages2
Publication statusPublished - Jul 2014
Event7th ACM Conference on Security and Privacy in Wireless and Mobile Networks - Oxford, United Kingdom
Duration: 23 Jul 201425 Jul 2014

Conference

Conference7th ACM Conference on Security and Privacy in Wireless and Mobile Networks
CountryUnited Kingdom
CityOxford
Period23/07/1425/07/14

Keywords

  • Graphical
  • password
  • heuristics
  • forensics
  • tool
  • smartphone
  • prediction

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  • Projects

    Forensic Tools Against Illegal Use of Internet (ForToo)

    Andriotis, P., Haghighi, M., Li, S., Oikonomou, G., Wojcik, M. & Tryfonas, T.

    17/06/1116/10/14

    Project: Research

  • Cite this

    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.