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
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