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Physical Sciences and Mathematics Commons™
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Full-Text Articles in Physical Sciences and Mathematics
Determining Vulnerability Using Attack Graphs: An Expansion Of The Current Fair Model, Beth M. Anderson
Determining Vulnerability Using Attack Graphs: An Expansion Of The Current Fair Model, Beth M. Anderson
EWU Masters Thesis Collection
Factor Analysis of Information Risk (FAIR) provides a framework for measuring and understanding factors that contribute to information risk. One such factor is FAIR Vulnerability; the probability that an event involving a threat will result in a loss. An asset is vulnerable if a threat actor’s Threat Capability is higher than the Resistance Strength of the asset. In FAIR scenarios, Resistance Strength is currently estimated for entire assets, oversimplifying assets containing individual systems and the surrounding environment. This research explores enhancing estimations of FAIR Vulnerability by modeling interactions between threat actors and assets through attack graphs. By breaking down the …
Evaluating A Cluster Of Low-Power Arm64 Single-Board Computers With Mapreduce, Daniel Mcdermott
Evaluating A Cluster Of Low-Power Arm64 Single-Board Computers With Mapreduce, Daniel Mcdermott
EWU Masters Thesis Collection
With the meteoric rise of enormous data collection in science, industry, and the cloud, methods for processing massive datasets have become more crucial than ever. MapReduce is a restricted programing model for expressing parallel computations as simple serial functions, and an execution framework for distributing those computations over large datasets residing on clusters of commodity hardware. MapReduce abstracts away the challenging low-level synchronization and scalability details which parallel and distributed computing often necessitate, reducing the concept burden on programmers and scientists who require data processing at-scale. Typically, MapReduce clusters are implemented using inexpensive commodity hardware, emphasizing quantity over quality due …