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Sparse Clustering Based IoT Anomaly Intrusion Detection Using Information Theoretic Feature Selection (Research)
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    Here you will find general information regarding your chosen Masters programme offered by Cranfield University.

    • Masters programme

    Facts about the Masters programme

    Name of the Masters programme

    Sparse Clustering Based IoT Anomaly Intrusion Detection Using Information Theoretic Feature Selection (Research)

    Institution

    Location

    Cranfield

    Degree

    Master of Science by Research

    Language

    Type of study

    Full-time

    Duration of study: 1 year

    Tuition fees EU: no information

    Tuition fees Non EU: no information

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