Predictive Analytics: Case Studies for Cybersecurity

Machine Learning    |    Intermediate
  • 10 videos | 1h 23m 44s
  • Includes Assessment
  • Earns a Badge
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Cybersecurity is the protection of user software from maliciously-intentioned agents and parties. Cyberattacks commonly focus on critical physical infrastructures like power plants, oil refineries, and gas pipelines. For geopolitical reasons, the cybersecurity of such installations is increasingly important. In this course, explore the use of classification models when modeling cyberattacks and the evaluation metrics for classification models. Next, examine a case study where machine learning and cybersecurity attempt to detect intrusions in a gas pipeline. Finally, investigate a case study where machine learning models are used to detect and cope with malware. Upon completion, you'll be able to identify the need for AI in cybersecurity and outline the appropriate use of evaluation metrics for classification models.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Recognize the need for ai in cybersecurity
    Identify use cases and limitations of ai in cybersecurity
    Recognize the confusion matrix and accuracy metrics
    Recall how the precision, recall, the roc curve, and the auc metric work
  • Identify the details of the gas pipeline intrusion detection case study
    Outline the results of the gas pipeline intrusion detection case study
    Outline the malware detection using machine learning (ml) case study
    State the results of the malware detection using machine learning (ml) case study
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 2m 56s
  • 7m 53s
  • Locked
    3.  Uses and Limitations of AI in Cybersecurity
    8m 18s
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    4.  Classification Models for Cybersecurity
    7m 26s
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    5.  Precision, Recall, ROC Curve, and AUC Metric
    8m 14s
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    6.  Gas Pipeline Intrusion Detection Case Study
    12m 13s
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    7.  Gas Pipeline Intrusion Detection Case Study Findings
    8m 23s
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    8.  Malware Detection Case Study
    12m 25s
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    9.  Malware Detection Case Study Findings
    10m 52s
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    10.  Course Summary
    5m 5s

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