CyberSecurity Summary

Big Data Analytics and Intelligent Systems for Cyber Threat Intelligence


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The Book is a compilation of research papers on cybersecurity, specifically focusing on methods to detect and classify cyber threats. These papers explore the application of machine learning techniques to analyze and identify malicious behavior in various areas, including encrypted network traffic, Android mobile applications, and ransomware. The authors present their findings in the context of specific datasets and discuss the advantages and disadvantages of different machine learning algorithms. The book also considers the potential benefits of integrating machine learning with Blockchain technology for enhancing cybersecurity in a decentralized setting.

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CyberSecurity SummaryBy CyberSecurity Summary

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