Author:
Janeja, Vandana P., 1976- author.
ImprintCambridge, United Kingdom ; New York, NY : Cambridge University Press, 2022.
Descriptionxiii, 192 pages : illustrations ; 24 cm
Note:Introduction : data analytics for cybersecurity -- Understanding sources of cybersecurity data -- Introduction to data mining : clustering, classification and association rule mining -- Big data analytics and its need for cybersecurity : advanced DM and complex data types from cybersecurity perspective -- Types of cyberattacks -- Anomaly detection for cybersecurity -- Anomaly detection methods -- Cybersecurity through time series and spatial data -- Cybersecurity through network and graph data -- Human-centered data analytics for cybersecurity -- Future directions in data analytics for cybersecurity.
Bibliography Note:Includes bibliographical references (pages 165-188) and index.
Note:"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."-- Provided by publisher.
