Biometric Analysis of the US-VISIT Program
Post-9/11, the U.S. government instituted the U.S. Visitor and Immigrant Status Indicator Technology (US-VISIT) Program, which compares two index fingerprints from every foreign visitor entering the U.S. against a watchlist of fingerprints from several million criminals and suspected terrorists. In the first part of this talk, we develop a new probabilistic model for fingerprint matching that allows for population heterogeneity in fingerprint image quality, calibrate this model using data from the National Institute of Standards and Technology (NIST), and embed the model into a Stackelberg game, in which the U.S. government chooses an optimal biometric strategy to maximize the detection probability subject to a constraint on the mean biometric processing time per legal visitor, and then the terrorist chooses his fingerprint image quality to minimize his detection probability. We predict that switching from a two-finger system to a ten-finger system would increase the detection probability in this game from 0.526 to 0.949. This work was the basis of Congressional testimony last fall, and the Department of Homeland Security recently announced that they are switching from a two-finger system to a ten-finger system. In the second part of this talk, we use new data from Cogent (the biometrics vendor for the U.S. Visit Program) to derive a two-stage, two-finger biometric strategy that works as well as a one-stage, ten-finger strategy. The second stage of this two-stage strategy employs texture matching rather than the traditional minutiae matching.
Manas Baveja is a doctoral candidate in the Institute for Computational and Mathematical Engineering at Stanford University and a CISAC science fellow. His doctoral research is focused on quantitative modeling of homeland security projects.
Lawrence Wein is the Paul E. Holden Professor of Management Science at the Graduate School of Business, Stanford University, and an affiliated faculty member at CISAC.
Reuben W. Hills Conference Room
Lawrence M. Wein
Graduate School of Business
Stanford University
Stanford, CA 94305-5015
Lawrence Wein is the Jeffrey S. Skoll Professor of Management Science at the Graduate School of Business, Stanford University, and an affiliated faculty member at CISAC. After getting a PhD in Operations Research from Stanford University in 1988, he spent 14 years at the Sloan School of Management at MIT, where he was the DEC Leaders for Manufacturing Professor of Management Science. His research interests include mathematical models in operations management, medicine and biology.
Since 2001, he has analyzed a variety of homeland security problems. His homeland security work includes four papers in Proceedings of the National Academy of Sciences, on an emergency response to a smallpox attack, an emergency response to an anthrax attack, a biometric analysis of the US-VISIT Program, and an analysis of a bioterror attack on the milk supply. He has also published the Washington Post op-ed "Unready for Anthrax" (2003) and the New York Times op-ed "Got Toxic Milk?", and has written papers on port security, indoor remediation after an anthrax attack, and the detention and removal of illegal aliens.
For his homeland security research, Wein has received several awards from the International Federation of Operations Research and Management Science (INFORMS), including the Koopman Prize for the best paper in military operations research, the INFORMS Expository Writing Award, the INFORMS President’s Award for contributions to society, the Philip McCord Morse Lectureship, the Frederick W. Lanchester Prize for best research publication, and the George E. Kimball Medal. He was Editor-in-Chief of Operations Research from 2000 to 2005, and was elected to the National Academy of Engineering in 2009.