Machine Learning in Cyber Security: Network Traffic Classification based on
31,59 €
This book is addressed for both seasoned and beginners in the field of machine learning, we included a simple explanation for each idea and then we expanded to all technical details. We started by explaining KNN and all its challenges. Then we introduced a newly discovered dataset deficiency and an enhancement to counter that problem. The field of the experiment was on network traffic classification. We combined the precision of the DPI method and the privacy of blind classifiers, once the model is trained on known traffic flows, then we used the statistical data and the packet header for classification.
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