Improving user verification by implementing an agent-based security system

Abstract. This paper presents an agent-based, high-level security system for user verification. The system verifies a user's identity by processing data from several low-lever sensors mounted at an entry point combined with knowledge of the user's past behavior. The data from a new entry are processed by several agents, which store the knowledge in an ontology. A single agent's classifications are integrated into the overall decision. The system successfully detects intruders, even when they optimally fake low-level sensors, e.g. fingerprints, and regular personnel under the influence of drugs.

• Type: Journal
• Year: 2010
• Where: JAISE
• Authors: Erik Dovgan, Bostjan Kaluza, Tea Tusar, Matjaz Gams
• Keywords: Algorithms, JAISE 2010, Low-lever Sensors, User, User Verification