Cybersecurity analytics
- Boca Raton : CRC Press, 2020
- xv, 339 p. ; ill., 25 cm
- Chapman & Hall/CRC data science series .
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.
9781032401003
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 bases