Cybersecurity analytics
By: Verma, Rakesh M.
Contributor(s): Marchette, David J.
Material type:
BookSeries: Chapman & Hall/CRC data science series.Publisher: Boca Raton : CRC Press, 2020Description: xv, 339 p. ; ill., 25 cm.ISBN: 9781032401003.Subject(s): Computer security | Clustering DBSCAN | Corpora | Encryption | Hidden markov model | Isomap | Kerckhoff's principle | Machine learning | Neural networks | Probability | Topological data analysis | Vector space | Zipf's law | Intrusion detection | Knowledge basesDDC classification: 005.8 Summary: This book organizes in one place the mathematics, probability, statistics and machine learning information that is required for a practitioner of cybersecurity analytics, as well as the basics of cybersecurity needed for a practitioner.
| Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| Books | 005.8 VER (Browse shelf) | Available | 034097 |
Includes bibliographical references and indexes.
This book organizes in one place the mathematics, probability, statistics and machine learning information that is required for a practitioner of cybersecurity analytics, as well as the basics of cybersecurity needed for a practitioner.
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