English | 2022 | ISBN: 110841527X | 207 Pages | PDF | 7 MB

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 snts 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, series and spatial data analysis, and human-centered cybersecurity.



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