Method and apparatus for sequential authentication using one or more error rates characterizing each security challenge

Abstract

Methods and apparatus are provided for sequential authentication of a user that employ one or more error rates characterizing each security challenge. According to one aspect of the invention, a user is challenged with at least one knowledge challenge to obtain an intermediate authentication result; and the user challenges continue until a cumulative authentication result satisfies one or more criteria. The intermediate authentication result is based, for example, on one or more of false accept and false reject error probabilities for each knowledge challenge. A false accept error probability describes a probability of a different user answering the knowledge challenge correctly. A false reject error probability describes a probability of a genuine user not answering the knowledge challenge correctly. The false accept and false reject error probabilities can be adapted based on field data or known information about a given challenge.

Description

FIELD OF THE INVENTION [0001] The present invention is generally related to user authentication techniques and, more particularly, to techniques for providing sequential user authentication. BACKGROUND OF THE INVENTION [0002] Authenticating the identity claim of a user is an important step in ensuring the security of systems, networks, services and facilities, both for physical and for logical access. Existing user authentication is often performed on the basis of a user's knowledge of a single verification object, e.g., a password or a personal identification number (PIN) or on the basis of possession of a single verification object, e.g., a key or a card. Other existing authentication techniques include the use of a biometric feature as the verification object, e.g., a fingerprint, a voiceprint, an iris scan or a face scan. [0003] Verification is typically done by comparing the verification object obtained from the user at the time of attempted access to previously stored objects....

AI Technical Summary

Benefits of technology

[0011] According to another aspect of the invention, one or more of the false accept and false reject error probabilities are adapted based on field data or known information about a given challenge. For example, the FA and FR values may be changed by adapting to field data reflecting the measured FA and FR values. The FA and FR values may also be changed to reflect expected security breaches. The continuous scores p

Problems solved by technology

For example, fingerprints are consistent and sequential challenges would not be beneficial since they capture the same identical fingerprint.

When sequential user authentication is utilized, the set of rules or algorithms for making a binary decision to accept or reject the user may be more complicated than a simple threshold, since the results from individual i

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