Top 8 Books on Machine Learning In Cybersecurity One Must Read

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With the proliferation of information technologies and data among us, cybersecurity has become a necessity. Machine learning helps organisations by getting insights from raw data, predicting future outcomes and more. 

For a few years now, such utilisation of machine learning techniques has been started being implemented in cybersecurity. It helps in several ways, including identifying frauds, malicious codes and other such. 

In this article, we list down the top eight books, in no particular order, on machine learning In cybersecurity that one must-read.

Data Mining and Machine Learning in Cybersecurity

About: Written by Sumeet Dua and Xian Du, this book introduces the basic notions in machine learning and data mining. It provides a unified reference for specific machine learning solutions to cybersecurity problems as well as provides a foundation in cybersecurity fundamentals, including surveys of contemporary challenges.

The book details some of the cutting-edge machine learning and data mining techniques that can be used in cybersecurity, such as in-depth discussions of machine learning solutions to detection problems, contemporary cybersecurity problems, categorising methods for detecting, scanning, and profiling intrusions and anomalies, among others. 

Get the book here.

Malware Data Science

About: In Malware Data Science, security data scientist Joshua Saxe introduces …

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