Web Security

padlock images superimposed over network code.

We are developing new technologies to beat the spambots by exploiting the difficulty that computers have with recognizing joined-up handwriting. The hope is that switching from text-based verification systems to systems that use computer-generated handwriting will make many web services more secure.

Research Highlights

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Best Paper Awards
11/20/19
Fei Xu and Bhargava Urala Kota, both PhD students in the Department of Computer Science and Engineering and part of UB’s Center for Unified Biometrics and Sensors (CUBS), received Best Paper Awards at the 15^th International Conference on Document Analysis and Recognition (ICDAR).
Mentoring Award
11/9/19
Dr. Govindaraju is the recipient of UB's “Excellence in Graduate Student Mentoring Award.” The award is given to a member of the UB Graduate Faculty for "truly outstanding and sustained support and development of graduate students from course completion through research and subsequent career placement."
IPIAM 2019
11/9/19
CUBS is hosting the 8th International Program on Cyber Security for Banks and Financial Sector in Niagara Falls, NY.
Publication at BTAS
11/6/19
Congratulations to Devansh Arpit, Chetan Ramaiah, and Venu Govindaraju for their publication "Subspace Learning via Low Rank Projections for Dimensionality Reduction" at the 8th IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS 2016).
AI for Social Good
11/6/19
Govindaraju postal research highlighted in Keynote by Eric Horvitz at the Computing Community Consortium workshop on AI for Social Good. >> Watch on Youtube