DocumentCode :
2271990
Title :
Agent-based risk learning for computing systems
Author :
Wang, XiaoFeng ; Kiliccote, Han ; Khosla, Pradeep K. ; Zhang, Chengqi
Author_Institution :
Inst. for Complex Engineered Syst., Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear :
2000
fDate :
2000
Firstpage :
459
Lastpage :
460
Abstract :
Excessive or inadequate security controls can impair the utility of an open computing system. The agent based open computing environment we propose 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
Keywords :
learning (artificial intelligence); multi-agent systems; open systems; probability; security of data; software agents; agent-based risk learning; open computing system; security controls; security policy; Bayesian methods; Computer networks; Control systems; Cost function; Information security; Intelligent agent; Resource management; Risk management; Statistical analysis; Usability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
MultiAgent Systems, 2000. Proceedings. Fourth International Conference on
Conference_Location :
Boston, MA
Print_ISBN :
0-7695-0625-9
Type :
conf
DOI :
10.1109/ICMAS.2000.858524
Filename :
858524
Link To Document :
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