Data Mining and Machine Learning in Cybersecurity

Data Mining and Machine Learning in Cybersecurity

Data Mining and Machine Learning in Cybersecurity by Sumeet Dua, Xian Du

A..rbach Publications | 2011 | ISBN: 1439839425 | 256 pages | PDF | 3,2 MB

With the rapid advancement of information discovery techniques, machine learning and data mining continue to play a significant role in cybersecurity. Although several

conferences, workshops, and journals focus on the fragmented research topics in this area, there has been no single interdisciplinary resource on past and current works and

possible paths for future research in this area. This book fills this need.
From basic concepts in machine learning and data mining to advanced problems in the machine learning domain, Data Mining and Machine Learning in Cybersecurity

provides a unified reference for specific machine learning solutions to cybersecurity problems. It supplies a foundation in cybersecurity fundamentals and surveys contemporary

challenges—detailing cutting-edge machine learning and data mining techniques. It also: Unveils cutting-edge techniques for detecting?new attacks Contains in-depth

discussions of machine learning solutions to detection problems Categorizes methods for detecting, scanning, and profiling intrusions and anomalies Surveys contemporary

cybersecurity problems and unveils state-of-the-art machine learning and data mining solutions Details privacy-preserving data mining methods This interdisciplinary

resource includes technique review tables that allow for speedy access to common cybersecurity problems and associated data mining methods. Numerous illustrative figures

help readers visualize the workflow of complex techniques and more than forty case studies provide a clear understanding of the design and application of data mining and

machine learning techniques in cybersecurity.
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