Dr. Terrance Boult
El Pomar Endowed Chair of Innovation and
   Security and Professor of Computer Science
University of Colorado at Colorado Springs
Engineering Building Room 199
1420 Austin Bluffs Parkway
Colorado Springs, Colorado 80933-7150
Phone: 719-963-0573
Fax: 719-255-3369
Email: tboult@vast.uccs.edu


DVP term expires December 2012

Dr. Boult, El Pomar Endowed Chair of Innovation and Security and Professor of
Computer Science at the University of Colorado at Colorado Spring where his role
includes working with faculty and local companies to develop and transfer technology in
the Springs area. Since joining UCCS in 2003 Dr. Boult' partner companies have been
awarded over 7 Million dollars in SBIR/STTR funding.

Before joining UCCS he was the Weiseman Chair Professor and the New Century Fund
Professor of Computer Science in the Computer Science and Engineering Department at
Lehigh University, where he was the founding chairman of the CSE department. Dr.
Boult was on the faculty of Columbia University from 1986 (Associate Prof. 1992-1994)
before joining Lehigh in 1994. He studied at Columbia University, earning his M.S. and
Ph.D. degrees in computer science in 1984 and 1986 respectively.

Dr. Boult has been the organizer of dozens related conferences/workshops for IEEE,
including both biometrics and embedded systems, as well as invited speaker on
biometrics for ASIS and at the NIST Biometric Quality Workshop. He is the chair of the
IEEE Technical Committee on Pattern Analysis and Machine Intelligence, and a
founding member of the IEEE Biometric Council.

Dr. Boult is the Co-founder, CEO/CTO of Securics, Inc. (http://www.securics.com),
which is addressing security and biometrics technology. Since its founding in 2004,
Securics has been actively commercializing technology developed by Dr. Boult at UCCS
and has won 6 Phase I and 3 Phase 2 SBIR/STTRs as well as multiple commercial
contracts. With exclusive licenses to 6 pending patents, Securics has unique technologies
that simultaneously improve security and privacy.


Privacy and Security in Biometrics
This talk presents an overview security and privacy issues with traditional biometrics,
introduce the Biometrics Dilemma, various threats it poses and a model for biometric DB
risk highlighting the problem with standard large-scale biometrics. The talk will explain
why standard encryption does not solve the key problems, but also explores best practices
in using standard encryption, which can improve security. Moving to security, the talk
will examine security system architectures, the role of authentication in such systems and
the standard architectures for authentication using biometrics. It will examine the
advantages that biometrics bring, how biometrics can improve security and even privacy
in such systems, and then discuss their weakness in both security and privacy. This talk
will briefly discusses the Nobel prize winning economic theory of asymmetric
information, Akerlof's market for lemons and Kerckhoffs' principles for security, and
their implications for biometrics systems. The last component of this talk is an in-depth
review the state of the art in what is sometimes called privacy preserving biometric
technologies including biometric encryption, fuzzy vaults, fuzzy extractors, biometric
hashing, and cancelable biometrics. The talk will then walk through a security analysis of
these technologies including the published attacks. This talk is intended to be relatively
interactive with the opportunity discussion of some of the more subtle issues and a few
"exercises" given out during the session with a discussion of the answers later in the day.

Biometrics Along the Border: Problems and Promises
As biometric data currently enjoys wider acceptance and deployment, storage and privacy
of this data becomes an area of growing concern. Possible misuse of an individual’s
personal information is a problem that many organizations and companies are looking to
find solutions to. This talk examines the biometric data dilemma for biometrics deployed
in border management scenarios, and then presents biometric risk solutions to help
formalize associated risks. Biometric data security problems are clearly defined, with
security evaluation for the potential solutions given. Specific attention is given to privacy
issues for biometric watch-lists used for nationals security and immigration purposes.
This talk also addresses the design and deployment of long distance, outdoor facial
recognition systems with privacy components. Finally, this talk concludes with a
discussion of multi-biometric and multi-factor solutions to improve system performance.