TY  - BOOK
AU  - Dua,Sumeet and Du,Xian
TI  - Data Mining and Machine Learning in Cybersecurity
SN  - 9780429063756
U1  - 005.8 
PY  - 2011///
CY  - Boca Raton
PB  - CRC Press
KW  - Data mining
KW  - Machine learning
KW  - Computer security
KW  - Electronic books
KW  - lcsh
N1  - An Auerbach book; Includes bibliographical references and index; 1. Introduction -- 2. Classical machine-learning paradigms for data mining -- 3. Supervised learning for misuse/signature detection -- 4. Machine learning for anomaly detection -- 5. Machine learning for hybrid detection -- 6. Machine learning for scan detection -- 7. Machine learning for profiling network traffic -- 8. Privacy-preserving data mining -- 9. Emerging challenges in cybersecurity; Also available in print edition
N2  - 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--
UR  - http://marc.crcnetbase.com/isbn/9781439839430
ER  -