Hands-On Artificial Intelligence for Cybersecurity

Going beyond statistics toward machine learning

Although the introduction of statistical models broke through the limitations of expert systems, the underlying rigidity of the approach remained, because statistical models, such as rule-based decisions, were in fact established in advance and could not be modified to adapt to new data. For example, one of the most commonly used statistical models is the Gaussian distribution. The statistician could then decide that the data comes from a Gaussian distribution, and try to estimate the parameters that characterize the hypothetical distribution that best describes the data being analyzed, without taking into consideration alternative models.

To overcome these limits, it was therefore necessary ...