TL;DR
ai.lock is a novel image-based authentication method for mobile devices that offers comparable security to biometrics without the privacy and security risks, using object images as secret credentials.
Contribution
This paper introduces ai.lock, a secure, secret image-based authentication system that surpasses biometric security and addresses privacy concerns in mobile device authentication.
Findings
ai.lock achieves an EER of 0.71%, comparable to biometric systems.
It is secure against brute force attacks on over 3.5 billion instances.
Shannon entropy of ai.lock exceeds that of fingerprint-based authentication.
Abstract
Biometrics are widely used for authentication in consumer devices and business settings as they provide sufficiently strong security, instant verification and convenience for users. However, biometrics are hard to keep secret, stolen biometrics pose lifelong security risks to users as they cannot be reset and re-issued, and transactions authenticated by biometrics across different systems are linkable and traceable back to the individual identity. In addition, their cost-benefit analysis does not include personal implications to users, who are least prepared for the imminent negative outcomes, and are not often given equally convenient alternative authentication options. We introduce ai.lock, a secret image based authentication method for mobile devices which uses an imaging sensor to reliably extract authentication credentials similar to biometrics. Despite lacking the regularities…
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