NDLI: Improving quality of interference in multilevel secure knowledge-based systems

Content Provider	IEEE Xplore Digital Library
Author	George, B. Mathai, S.S.
Copyright Year	2004
Description	Author affiliation: Printing Supply Company, 80 E. Hoffman Road, Peoria, IL 61611 (Mathai, S.S.) \|\| University Circle, Western Illinois University, Macomb, IL 61455 (George, B.)
Abstract	The issue of providing security to knowledge-based systems has been addressed in the literature. Most of these works aim at protecting secure information from leakage by enforcing security constraints. For security reasons, the knowledge available at high security level is not disclosed to subjects holding lower security clearance levels. The inherent inability of multilevel secure systems to utilize the high security knowledge for inference may lead to poor Quality of Inference at low security levels. The paper explores the issue of improving Quality of Inference without significantly compromising security. We first develop a secure Match-Resolve-Act algorithm. We then illustrate the Quality of Inference issues arising in a secure knowledge based system, and suggest an inter-level inference engine based architecture for improving the Quality of Inference. We also study the impact of inter-level inference on security by applying the Sphere of Inference notion.
Starting Page	477
Ending Page	484
File Size	252230
Page Count	8
File Format	PDF
ISBN	0780388232
DOI	10.1109/ICMLA.2004.1383553
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-12-16
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Military computing Terrorism Knowledge based systems Information security Inference algorithms Manufacturing Personnel Protection Interference constraints Engines
Content Type	Text
Resource Type	Article

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