Data Analytics for Cybersecurity

The world is increasingly connected, and cyber threats are evolving. Analyzing data across different cybersecurity domains can help us understand threats better, prevent future cyber-attacks, and provide insights into the evolving threat landscape. This book takes a data-oriented approach to studying cyber threats, extending traditional methods and applying data analytics to non-traditional views of cybersecurity.

Format: Hardback
Length: 240 pages
Publication date: 21 July 2022
Publisher: Cambridge University Press

As the world continues to embrace the interconnectedness of technology, it also becomes increasingly vulnerable to a wide range of cyber threats. To effectively navigate this evolving threat landscape, we must employ a diverse array of tools and techniques to gain a comprehensive understanding of the constantly changing threat environment. Data plays a pivotal role in connecting various devices and end users, serving as a common thread that weaves together different aspects of cybersecurity. By analyzing data across various segments of the cybersecurity domain, particularly data generated during cyber-attacks, we can gain a deeper insight into the nature of threats, develop effective strategies to prevent future attacks, and gain valuable insights into the evolving cyber threat landscape.

In this book, we take a data-driven approach to studying cyber threats. We explore in depth how traditional methods such as anomaly detection can be extended and enhanced through the use of data analytics. We also apply data analytics to non-traditional perspectives of cybersecurity, such as multi-domain analysis, time series and spatial data analysis, and human-centered cybersecurity.

By leveraging the power of data, we can gain a more holistic understanding of cyber threats and develop innovative solutions to mitigate their impact. This book is a valuable resource for cybersecurity professionals, researchers, and students alike, as it provides a comprehensive guide to the latest techniques and methodologies in data-driven cybersecurity.

Weight: 450g
ISBN-13: 9781108415279