Abstract-System security continues to be of increasing importance. To effectively address both natural and intentional threats to large systems, the threats must be cataloged and analyzed. Extremely large and complex systems can have an accordingly large number of threat scenarios. Simply listing the threats and devising countermeasures for each is ineffective and not efficient. We describe a threat cataloging methodology whereby a large number of threats can be efficiently cataloged and analyzed for common features. This allows countermeasures to be formulated that address a large number of threats that share common features. The methodology utilizes MultipleValued Logic for describing the state of a large system and a multiple-valued decision diagram (MDD) for the threat catalog and analysis.Large System Security, Threat cataloging, MDD
Abstract-Design for medical system reliability has become an area of increasing importance. Medical system threats, which include system failures as well as malicious attacks, often have interdependent events that can adversely affect system operation.To address these problems, we build upon our previous threat cataloging methodology such that a large number of interdependent threats can be efficiently cataloged and analyzed for common features. Our approach utilizes Multiple-Valued Logic for describing the state of a large system and a multiplevalued decision diagram (MDD) for the threat catalog and analysis.
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