Table of Contents

Preface; 1. Introduction; 2. Understanding sources of cybersecurity data; 3. Introduction to data mining: clustering, classification and association rule mining; 4. Big data analytics and its need for cybersecurity: advanced DM and complex data types from cybersecurity perspective; 5. Types of Cyber Attacks; 6. Anomaly Detection for cyber security; 7. Anomaly Detection; 8. Cybersecurity through Time Series and Spatial data; 9. Cybersecurity through Network and Graph Data; 10. Human Centered Data Analytics for Cyber security; 11. Future directions in Data Analytics for Cybersecurity; References; Index;

Promotional Information

Shows how traditional and nontraditional methods such as anomaly detection and time series can be extended using data analytics.

About the Author

Vandana Janeja is Professor and Chair of the Information Systems department at the University of Maryland, Baltimore County. Most recently, she also served as an expert at the National Science Foundation supporting data science activities in the Directorate for Computer and Information Science and Engineering (CISE) (2018-2021). Her research interests include discovering knowledge in presence of data heterogeneity. Her research projects include anomaly detection in network communication data, human behavior analytics in heterogeneous device environments, geo spatial context for IP reputation scoring, spatio-temporal analysis across heterogeneous data, ethical thinking in data science. She has been funded through state, federal and private organizations.

Reviews

'The intersection of cybersecurity and big data is an operational and analytical capability still very much in its infancy. Data Analytics for Cybersecurity is perfectly positioned as a useful and necessary primer on the subject by exploring this relationship in clear, understandable language and imparts to readers not only the fundamentals of cybersecurity analytics from an academic perspective, but also, if not perhaps more importantly, how this capability relates to and can enhance cybersecurity in actual practice.' Richard Forno, University of Maryland Baltimore County

'Dr. Janeja shows us how data analytics can be used to predict, identify and intercept threats, solving difficult cybersecurity problems in the process. As a Professor and cybersecurity professional, I am thrilled for the prospect of teaching this material to my students and applying it to the industry at large. Simply put, this is the cybersecurity book I've been looking for.' Faisal Quader, Technuf LLC