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Security Applications of Trust in Multi-Agent Systems


Information security is a well established field of research that attempts to solve problems of unauthorized access to information. Tightly coupled with information security is the issue of intrusion detection. The goal of intrusion detection is to recognize when an unauthorized user attempts to access a protected resource, such as a computer system. The concept of trust as presented here focuses on the trustworthiness, or reliability, of information and information sources. Decision makers, or agents, can create judgments based on previous experience with other agents and by reputation information received from allied agents. These judgments, or trust assessments, are used to predict the behavior of other agents and analyze the trustworthiness, truthfulness, or quality of information. Research concepts have been developed within the trust community, and they are most commonly applied to multiagent systems research. This thesis attempts to show that trust research can be directly applied to security problems. Modern trust concepts enforce soft security which can be applied in addition to conventional security methods to build a more robust secure system. This thesis examines two trust based techniques and demonstrates their basic effectiveness using empirical experimentation. These techniques are then applied in a case study drawn from a more robust domain concerning confidential message transmission. The benefits of applying trust-based techniques to secure a system are measurable, and the costs associated with such techniques are scalable to even the most resource constrained systems.

D. DeAngelis and K. S. Barber. Security Applications of Trust in Multi-Agent Systems. The University of Texas at Austin, Masters of Science in Engineering Thesis, Austin, TX; August, 2006; pp. 1-85.

For a more rigorous experimental description see:
Dave DeAngelis,
Jun 4, 2009, 12:57 PM