Data mining and machine learning in cybersecurity

"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, categor...

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Bibliographic Details
Main Author: Dua, Sumeet.
Other Authors: Du, Xian.
Format: Electronic
Language:English
Published: Boca Raton : Taylor & Francis, 2011.
Subjects:
Online Access:View fulltext via EzAccess
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020 # # |a 9781439839430 (e-book : PDF) 
040 # # |a FlBoTFG  |c FlBoTFG 
090 # # |a QA76.9.D343  |b D825 2011 
092 # # |a 005.8  |b D812 
100 1 # |a Dua, Sumeet. 
245 1 0 |a Data mining and machine learning in cybersecurity  |c Sumeet Dua and Xian Du.  |h [electronic resource] / 
260 # # |a Boca Raton :  |b Taylor & Francis,  |c 2011. 
300 # # |a xxii, 234 p. :  |b ill. 
500 # # |a "An Auerbach book." 
504 # # |a Includes bibliographical references and index. 
505 0 # |a 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. 
520 # # |a "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"--  |c Provided by publisher. 
530 # # |a Also available in print edition. 
538 # # |a Mode of access: World Wide Web. 
650 # 0 |a Data mining. 
650 # 0 |a Machine learning. 
650 # 0 |a Computer security. 
655 # 7 |a Electronic books.  |2 lcsh 
700 1 # |a Du, Xian. 
776 1 # |z 9781439839423 
856 4 0 |q application/PDF  |u https://ezaccess.library.uitm.edu.my/login?url=http://marc.crcnetbase.com/isbn/9781439839430  |z View fulltext via EzAccess