Data Analytics for Cybersecurity
Data Analytics for Cybersecurity
AUD$106.95
inc GSTAs 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.
- Presents a multi-faceted way of looking at cybersecurity through different types of data
- Covers both traditional and nontraditional methods for cybersecurity
- Data analytics is an important tool for preventing future cyber-attacks
Reviews & endorsements
'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
Product details
August 2022Adobe eBook Reader
9781108246323
0 pages
This ISBN is for an eBook version which is distributed on our behalf by a third party.
Table of Contents
- Preface
- 1. Introduction
- 2. Understanding sources of cybersecurity data
- 3. Introduction to data mining: clustering, classification and association rule mining
- 4. Big data analytics and its need for cybersecurity: advanced DM and complex data types from cybersecurity perspective
- 5. Types of Cyber Attacks
- 6. Anomaly Detection for cyber security
- 7. Anomaly Detection
- 8. Cybersecurity through Time Series and Spatial data
- 9. Cybersecurity through Network and Graph Data
- 10. Human Centered Data Analytics for Cyber security
- 11. Future directions in Data Analytics for Cybersecurity
- References
- Index
