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{ "item_title" : "Data Analytics for Cybersecurity", "item_author" : [" Vandana P. Janeja "], "item_description" : "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.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/1/10/841/527/110841527X_b.jpg", "price_data" : { "retail_price" : "78.00", "online_price" : "78.00", "our_price" : "78.00", "club_price" : "78.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Data Analytics for Cybersecurity|Vandana P. Janeja

Data Analytics for Cybersecurity

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Overview

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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Details

  • ISBN-13: 9781108415279
  • ISBN-10: 110841527X
  • Publisher: Cambridge University Press
  • Publish Date: July 2022
  • Dimensions: 9 x 6 x 0.5 inches
  • Shipping Weight: 0.99 pounds
  • Page Count: 208

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