August 2019
Intermediate to advanced
342 pages
9h 35m
English
Content preview from Hands-On Artificial Intelligence for Cybersecurity
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Anomaly detection strategies
We have therefore seen that the very concept of anomaly detection refers to a behavior that is different from what was expected; this difference, in technical terms, translates into outlier detection.
To identify the outliers, it is possible to follow different strategies:
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Analyzing a sequence of events within a time series: The data is collected at regular intervals, evaluating the changes that occur in the series over time. This is a technique widely used in the analysis of financial markets, but it can be also validly used in the cybersecurity context to detect the frequency of characters (or commands) entered by the user in a remote session. Even the simple unnatural increase in the frequency of data entered ...
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