Active trust management for autonomous adaptive survivable systems (ATM's for AAss's)

作者: Howard Shrobe , Jon Doyle , None

DOI: 10.1007/3-540-44584-6_4

关键词: Intrusion detection systemTrust management (information system)Resource (project management)Software systemEngineeringAdaptation (computer science)Rational planning modelTrusted computing baseComputer securityComputational resource

摘要: The traditional approaches to building survivable systems assume a framework of absolute trust requiring provably impenetrable and incorruptible Trusted Computing Base (TCB). Unfortunately, we don’t have TCB’s, experience suggests that never will. We must instead concentrate on software can provide useful services even when computational resource are compromised. Such system will 1) Estimate the degree which resources may be trusted using models possible compromises. 2) Recognize is compromised by relying for long term monitoring analysis infrastructure. 3) Engage in self-monitoring, diagnosis adaptation best achieve its purposes within available All this, turn, depends ability application, monitoring, control engage rational decision making about what they should use order ratio expected benefit risk.

参考文章(10)
Johan de Kleer, Brian C. Williams, Reasoning about multiple faults national conference on artificial intelligence. pp. 132- 139 ,(1986)
Ira J. Haimowitz, Isaac S. Kohane, Automated trend detection with alternate temporal hypotheses international joint conference on artificial intelligence. pp. 146- 151 ,(1993)
Ira Haimowitz, Isaac Kohane, James Fackler, Knowledge-based Data Display Using TrenDx ,(1994)
Ira J. Haimowitz, Isaac S. Kohane, An epistemology for clinically significant trends national conference on artificial intelligence. pp. 176- 181 ,(1993)
I. J. Haimowitz, I. S. Kohane, Hypothesis-driven data abstraction with trend templates. annual symposium on computer application in medical care. pp. 444- 448 ,(1993)
I. S. Kohane, TEMPORAL REASONING IN MEDICAL EXPERT SYSTEMS Massachusetts Institute of Technology. ,(1987)
Johan De Kleer, Brian C. Williams, Diagnosis with behavioral modes international joint conference on artificial intelligence. pp. 1324- 1330 ,(1989)
Walter C. Hamscher, Modeling digital circuits for troubleshooting Artificial Intelligence. ,vol. 51, pp. 223- 271 ,(1991) , 10.1016/0004-3702(91)90112-W
I S Kohane, K Faizan, N Adjanee, S S Najjar, CAN COST EFFECTIVENESS OF GROWTH HORMONE BE IMPROVED? Pediatric Research. ,vol. 33, pp. S51- S51 ,(1993) , 10.1203/00006450-199305001-00286
Peter Szolovits, Jon Doyle, William Long, Isaac Kohane, The Architecture of MAITA A Tool For Monitoring, Analysis, and Interpretation ,(2004)