This book discusses the detection of anomalies in computer networks from a machine learning perspective. It examines how computer networks work and how they can be attacked by intruders in search of fame, fortune, or challenge. You'll learn how to look for patterns in captured network traffic data to unearth potential intrusion attempts. Coverage includes machine learning techniques and algorithms, a taxonomy of attacks, and practical tools for launching attacks, capturing packet or flow traffic, extracting features, ...
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This book discusses the detection of anomalies in computer networks from a machine learning perspective. It examines how computer networks work and how they can be attacked by intruders in search of fame, fortune, or challenge. You'll learn how to look for patterns in captured network traffic data to unearth potential intrusion attempts. Coverage includes machine learning techniques and algorithms, a taxonomy of attacks, and practical tools for launching attacks, capturing packet or flow traffic, extracting features, detecting attacks, and evaluating performance.
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Add this copy of Network Anomaly Detection: A Machine Learning to cart. $131.51, new condition, Sold by GreatBookPrices rated 4.0 out of 5 stars, ships from Columbia, MD, UNITED STATES, published 2013 by CRC Press.
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New. Sewn binding. Cloth over boards. 366 p. Contains: Unspecified, Illustrations, black & white, Tables, black & white. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
Add this copy of Network Anomaly Detection: A Machine Learning to cart. $131.52, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2013 by CRC Press.
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