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Given the pervasive use of e-commerce transactions and personal data storage in the cloud, society has an urgent need for a robust process that authenticates and protects the privacy and online assets of individuals and organizations. We recommend a totally new approach that rethinks the entire "science of authentication." The biometrics and cyber security communities have approached the challenge from different vantage points. The former focuses on "individuality" and "liveness" of human characteristics whereas the latter has primarily considered encryption and elaborate software protocols. This talk explores methods that go beyond the traditional biometrics of physical and behavioral modalities by integrating tests for humanness and identity in a cognitive framework. We are creating a comprehensive solution that will address a host of challenging AI problems ranging from OCR, object recognition to natural language understanding. We also will show how our holistic process allows for a more practical approach to security within the framework of a continuous authentication scenario. |
Dr. Venu Govindaraju, University at Buffalo Vice President for Research and Economic Development and SUNY Distinguished Professor of Computer Science and Engineering, is founding director of the Center for Unified Biometrics and Sensors. His research focuses on machine learning and pattern recognition primarily in Document Image Analysis and Biometrics. His pioneering work in handwriting recognition was at the core of the first handwritten address interpretation system used by the U.S. Postal Service as well as postal services in Australia and the UK. An extraordinary researcher, he has been a Principal or Co-Investigator of sponsored projects funded for nearly 65 million dollars.
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