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by Dhruba K. Bhattacharyya.

EBOOK Network Anomaly Detection: A Machine Learning Perspective

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Bonjour les amateurs de livres, Si vous souhaitez tÃ©lÃ©charger un ebook gratuit, vous Ãªtes au bon endroit pour tÃ©lÃ©charger un ebook. Ebook Network Anomaly Detection: A Machine Learning Perspective EBOOK ONLINE DOWNLOAD in English is available for free here, Click on the download LINK below to download Ebook Network Anomaly Detection: A Machine Learning Perspective 2020 PDF Download in English by Dhruba K. Bhattacharyya (Author).

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With the rapid rise in the ubiquity and sophistication of Internet technology and the accompanying growth in the number of network attacks, network intrusion detection has become increasingly important. Anomaly-based network intrusion detection refers to finding exceptional or nonconforming patterns in network traffic data compared to normal behavior. Finding these anomalies has extensive applications in areas such as cyber security, credit card and insurance fraud detection, and military surveillance for enemy activities. Network Anomaly Detection: A Machine Learning Perspective presents machine learning techniques in depth to help you more effectively detect and counter network intrusion.In this book, you'll learn about:Network anomalies and vulnerabilities at various layers The pros and cons of various machine learning techniques and algorithms A taxonomy of attacks based on their characteristics and behavior Feature selection algorithms How to assess the accuracy, performance,