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.
"synopsis" may belong to another edition of this title.
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 152. Seller Inventory # C9781636480763
Quantity: Over 20 available
Seller: California Books, Miami, FL, U.S.A.
Condition: New. Seller Inventory # I-9781636480763
Quantity: Over 20 available
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condition: New. Machine Learning in Cyber Security: Network Traffic Classification based on Class Weight-based K-NN Classifier (CWK-NN) 0.18. Book. Seller Inventory # BBS-9781636480763
Quantity: 5 available
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Neuware. Seller Inventory # 9781636480763
Quantity: 2 available
Seller: moluna, Greven, Germany
Condition: New. Seller Inventory # 904664947
Quantity: Over 20 available
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Condition: New. Seller Inventory # ABLING22Oct2817100164628
Quantity: Over 20 available