IEEE Transactions on Pattern Analysis and Machine Intelligence
Biometrics: advanced identity verification
Biometrics: advanced identity verification
Technologies for Trust in Electronic Commerce
Electronic Commerce Research
Keystroke analysis of free text
ACM Transactions on Information and System Security (TISSEC)
Security requirement analysis of business processes
Electronic Commerce Research
Optimal Sequential Exploration: A Binary Learning Model
Decision Analysis
Neural fraud detection in credit card operations
IEEE Transactions on Neural Networks
Fusion of face and speech data for person identity verification
IEEE Transactions on Neural Networks
The prediction of network efficiency in the smart grid
Electronic Commerce Research
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Businesses often rely on customers that access an automated resource to receive information, service or products. We present an adaptive method for automated authentication with performance guarantee of probabilistic error bounds, referred to as identity verification. A database includes a record of identifiers for each identity. The identifiers are partitioned into groups, where identifiers in the same group are correlated while identifiers in different groups are independent. A claimant requesting access into the system is probed with a sequence of identifiers. The response to an identifier can be a match, no-match, or ambiguous. Each identifier is characterized by prior response probabilities for a legitimate claimant and for an impostor. Impostor's response probabilities are updated during a session. The method guarantees that the probabilities of accepting an impostor or rejecting a legitimate claimant do not exceed specified parameters. Once a given number of identifiers have been probed and the claimant has been neither accepted nor rejected, the session terminates with an inconclusive decision and the claimant is referred to further manual interrogation. The method computes various performance characteristics such as the probability that a session of a legitimate claimant terminates inconclusively. These characteristics are valuable in the design of an effective record of identifiers for each of the claimants.