Data mining and machine learning in cybersecurity

• Main Author: Dua, Sumeet.
• Other Authors: Du, Xian.
• Format: Electronic
• Language: English
• Published: Boca Raton : Taylor & Francis, 2011.
• Subjects: Data mining.; Machine learning.; Computer security.; Electronic books.
• Online Access: View fulltext via EzAccess
• Item Description: "An Auerbach book."
• Physical Description: xxii, 234 p. : ill.; Also available in print edition.
• Format: Mode of access: World Wide Web.
• Bibliography: Includes bibliographical references and index.
• ISBN: 9781439839430 (e-book : PDF)

"Introducing basic concepts of machine learning and data mining methodologies for cyber security, this book provides a unified reference for specific machine learning solutions and cybersecurity problems. The authors focus on how to apply machine learning methodologies in cybersecurity, categorizing methods for detecting, scanning, profiling, intrusions, and anomalies. The text presents challenges and solutions in machine learning along with cybersecurity fundamentals. It also describes advanced problems in cybersecurity in the machine learning domain and examines privacy-preserving data mining methods as a proactive security solution"--