Journal
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
Volume 11, Issue 7, Pages 1618-1629Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIFS.2016.2543524
Keywords
Biometrics; emergent biometrics; biometric protocols; performance and evaluation
Funding
- Binghamton University Interdisciplinary Collaborative Grants Program
- Binghamton University Health Sciences Transdisciplinary Area of Excellence
- National Science Foundation (NSF) [1252975]
- NSF [TWC SBE-1422417]
- Direct For Computer & Info Scie & Enginr
- Division Of Computer and Network Systems [1422417] Funding Source: National Science Foundation
- Division Of Behavioral and Cognitive Sci
- Direct For Social, Behav & Economic Scie [1252975] Funding Source: National Science Foundation
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The vast majority of existing work on brain biometrics has been conducted on the ongoing electroencephalogram. Here, we argue that the averaged event-related potential (ERP) may provide the potential for more accurate biometric identification, as its elicitation allows for some control over the cognitive state of the user to be obtained through the design of the challenge protocol. We describe the Cognitive Event-RElated Biometric REcognition (CEREBRE) protocol, an ERP biometric protocol designed to elicit individually unique responses from multiple functional brain systems (e.g., the primary visual, facial recognition, and gustatory/appetitive systems). Results indicate that there are multiple configurations of data collected with the CEREBRE protocol that all allow 100% identification accuracy in a pool of 50 users. We take this result as the evidence that ERP biometrics are a feasible method of user identification and worthy of further research.
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