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Proceedings Paper

Behavioral biometrics for verification and recognition of malicious software agents
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Paper Abstract

Homeland security requires technologies capable of positive and reliable identification of humans for law enforcement, government, and commercial applications. As artificially intelligent agents improve in their abilities and become a part of our everyday life, the possibility of using such programs for undermining homeland security increases. Virtual assistants, shopping bots, and game playing programs are used daily by millions of people. We propose applying statistical behavior modeling techniques developed by us for recognition of humans to the identification and verification of intelligent and potentially malicious software agents. Our experimental results demonstrate feasibility of such methods for both artificial agent verification and even for recognition purposes.

Paper Details

Date Published: 16 April 2008
PDF: 11 pages
Proc. SPIE 6943, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense VII, 694303 (16 April 2008); doi: 10.1117/12.773554
Show Author Affiliations
Roman V. Yampolskiy, Univ. at Buffalo (United States)
Venu Govindaraju, Univ. at Buffalo (United States)


Published in SPIE Proceedings Vol. 6943:
Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense VII
Edward M. Carapezza, Editor(s)

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