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Incorporating Subjective Risk Vales in BGP Attack Trees

Published

Author(s)

D. Richard Kuhn, Kotikalapudi Sriram, Douglas Montgomery

Abstract

We examine the performance of multimodal biometric authentication systems using state-of-the-art Commercial Off-the-Shelf (COTS) fingerprint and face biometric systems on a population approaching 1,000 individuals. Majority of prior studies of multimodal biometrics have been limited to relatively low accuracy non-COTS systems and populations of a few hundred users. Our work is the first to demonstrate that multimodal fingerprint and face biometric systems can achieve significant accuracy gains over either biometric alone, even when using highly accurate COTS systems on a relatively large-scale population. In addition to examining well-known multimodal methods, we introduce new methods of normalization and fusion that further improve the accuracy.
Proceedings Title
Presentation to IETF RPSec Working Group
Conference Location
, FR

Citation

Kuhn, D. , Sriram, K. and Montgomery, D. (2004), Incorporating Subjective Risk Vales in BGP Attack Trees, Presentation to IETF RPSec Working Group, , FR (Accessed July 14, 2024)

Issues

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Created October 31, 2004, Updated October 12, 2021