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 Authors: Dua, Sumeet (Author), Du, Xian (Author)
Format: Book
Language:English
Published: Boca Raton, Florida : CRC Press , c2011
Subjects:

MARC

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001 0000079086
005 20130314093000.0
008 120628s2011 flu eng
020 |a 1439839425 (hardback : alk. paper) 
020 |a 9781439839423 (hardback : alk. paper) 
050 0 0 |a QA76.9.D343   |b D83 2011 
090 0 0 |a QA76.9.D343   |b D83 2011 
100 1 |a Dua, Sumeet ,   |e author 
245 1 0 |a Data mining and machine learning in cybersecurity   |c Sumeet Dua, Xian Du 
260 |a Boca Raton, Florida :   |b CRC Press ,   |c c2011 
300 |a xxii, 234 p. :   |b ill. ;   |c 25 cm. 
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 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"--Provided by publisher 
520 |a "This interdisciplinary assessment is especially useful for students, who typically learn cybersecurity, machine learning, and data mining in independent courses. Machine learning and data mining play significant roles in cybersecurity, especially as more challenges appear with the rapid development of information discovery techniques, such as those originating from the sheer dimensionality and heterogeneous nature of the network data, the dynamic change of threats, and the severe imbalanced classes of normal and anomalous behaviors"-- Provided by publisher 
650 0 |a Computer security 
650 0 |a Data mining 
650 0 |a Machine learning 
700 1 |a Du, Xian ,   |e author 
999 |a 1000152261   |b Book   |c OPEN SHELF (30 DAYS)   |e Tembila Campus