Using strong passwords doesn’t mean that your user account is safe. Large-scale password database leaks and intelligent password guessing attacks can still compromise your accounts.
Risk-Based Authentication (RBA) is an approach to improve account security on websites without forcing users to use Two-Factor Authentication (2FA).
During login, RBA estimates a risk score based on the login behavior.
We studied this question with 65 users in our usability lab. The results show that
However, these impressions strongly depend on the type of online service that deploys RBA. For more details:
We studied 3.3M users and 31.3M login attempts on a real-world online service to uncover the real world RBA behavior. The results indicate that:
RBA rarely asks legitimate users for re-authentication in practice, even when blocking targeted attackers.
For more results and the open data set with the login data:
Our observations of 780 users and ≈250 features over 1.8 years show that only few features are sensible for RBA. For the full analysis:
Users currently obtain RBA’s high security and usability benefits at the cost of disclosing potentially sensitive data.
However, it is possible to enhance privacy for RBA while maintaining security and usability properties:
On medium risk, users are asked for re-authentication.
But how long does this take and how do users feel about it? We tested three RBA re-authentication schemes with over 500 participants to find out more.
Want to know which scheme performs best?