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.
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