@inproceedings{274bc4229a6c4a8280c25c04ebd839d4,
title = "Behavioral biometrics for verification and recognition of malicious software agents",
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.",
keywords = "Artificial intelligence, Artimetrics, Biometrics, Software agents",
author = "Yampolskiy, \{Roman V.\} and Venu Govindaraju",
year = "2008",
doi = "10.1117/12.773554",
language = "English",
isbn = "9780819471345",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense VII",
note = "Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense VII ; Conference date: 17-03-2008 Through 20-03-2008",
}