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Fourth International Conference on Multi-Agent Systems (ICMAS'00)
Agent-Based Risk Learning for Computing Systems
Boston, Massachusetts
July 10-July 12
ISBN: 0-7695-0625-9
XiaoFeng Wang, Carnegie Mellon University
Han Kiliccote, Carnegie Mellon University
Pradeep K. Khosla, Carnegie Mellon University
ChengQi Zhang, Deakin University
Excessive or inadequate security controls can impair the utility of an open computing system. The agent based open computing environment we propose in this paper balances the amount of security control to maximize the utility of the system. In the system, intelligent agents learn the risk of the users and then dynamically adjust the security policy to achieve better system utility.
Citation:
XiaoFeng Wang, Han Kiliccote, Pradeep K. Khosla, ChengQi Zhang, "Agent-Based Risk Learning for Computing Systems," icmas, pp.0459, Fourth International Conference on Multi-Agent Systems (ICMAS'00), 2000
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