IllusionPIN: Shoulder-Surfing Resistant Authentication Using Hybrid Images

Athanasios Papadopoulos, Toan Nguyen, Emre Durmus, Nasir Memon

Research output: Contribution to journalArticle

Abstract

We address the problem of shoulder-surfing attacks on authentication schemes by proposing IllusionPIN (IPIN), a PIN-based authentication method that operates on touchscreen devices. IPIN uses the technique of hybrid images to blend two keypads with different digit orderings in such a way, that the user who is close to the device is seeing one keypad to enter her PIN, while the attacker who is looking at the device from a bigger distance is seeing only the other keypad. The user's keypad is shuffled in every authentication attempt, since the attacker may memorize the spatial arrangement of the pressed digits. To reason about the security of IPIN, we developed an algorithm which is based on human visual perception and estimates the minimum distance from which an observer is unable to interpret the keypad of the user. We tested our estimations with 84 simulated shoulder-surfing attacks from 21 different people. None of the attacks was successful against our estimations. In addition, we estimated the minimum distance from which a camera is unable to capture the visual information from the keypad of the user. Based on our analysis, it seems practically almost impossible for a surveillance camera to capture the PIN of a smartphone user when IPIN is in use.

Original languageEnglish (US)
Article number7972980
Pages (from-to)2875-2889
Number of pages15
JournalIEEE Transactions on Information Forensics and Security
Volume12
Issue number12
DOIs
StatePublished - Dec 2017

Keywords

  • PIN authentication
  • human visual perception
  • hybrid image
  • shoulder-surfing
  • video attack

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Computer Networks and Communications

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