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Filtering by: Subject Electric network analyzers Remove constraint Subject: Electric network analyzers Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science Degree Field Computer Science Remove constraint Degree Field: Computer Science

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  • On edge disjoint Hamiltonian cycles in torus and Gaussian networks

    Creator:
    Alazemi, Fawaz M.
    Abstract:
    Many algorithms in parallel systems can be easily solved if we can generate a Hamiltonian cycle on the underly network. Finding Hamiltonian cycle is a well known NP-complete problem. For specific instances of regular graphs, such as Torus and Gaussian network, one can easily find Hamiltonian cycles. In this thesis,...
    Resource Type:
    Masters Thesis
    Full Text:
    Hamiltonian Cycles in Torus and Gaussian Network Abstract approved: Bella Bose Many algorithms in parallel

  • Exploring security metrics for electric grid infrastructure leveraging attack graphs

    Creator:
    Patapanchala, Panini Sai
    Abstract:
    Electric grid is a critical cyber-physical infrastructure that serves as lifeline for modern society. With the increasing trend of cyber-attacks, electric grid security has become a significant concern. Electric grid operators are working hard to reduce the risk of these attacks towards the system. Having security metrics for monitoring the...
    Resource Type:
    Masters Thesis
    Full Text:
    Metrics for Electric Grid Infrastructure Leveraging Attack Graphs Abstract approved: Rakesh Bobba