To view prices and purchase online, please login or create an account now.



Data Analytics for Cybersecurity

Hardback

Main Details

Title Data Analytics for Cybersecurity
Authors and Contributors      By (author) Vandana P. Janeja
Physical Properties
Format:Hardback
Pages:240
Dimensions(mm): Height 235,Width 157
Category/GenreComputer security
Computer networking and communications
Network security
ISBN/Barcode 9781108415279
ClassificationsDewey:005.8
Audience
Tertiary Education (US: College)
Illustrations Worked examples or Exercises; Worked examples or Exercises

Publishing Details

Publisher Cambridge University Press
Imprint Cambridge University Press
Publication Date 21 July 2022
Publication Country United Kingdom

Description

As the world becomes increasingly connected, it is also more exposed to a myriad of cyber threats. We need to use multiple types of tools and techniques to learn and understand the evolving threat landscape. Data is a common thread linking various types of devices and end users. Analyzing data across different segments of cybersecurity domains, particularly data generated during cyber-attacks, can help us understand threats better, prevent future cyber-attacks, and provide insights into the evolving cyber threat landscape. This book takes a data oriented approach to studying cyber threats, showing in depth how traditional methods such as anomaly detection can be extended using data analytics and also applies data analytics to non-traditional views of cybersecurity, such as multi domain analysis, time series and spatial data analysis, and human-centered cybersecurity.

Author Biography

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