Big Data Analytics and Intelligent Systems for Cyber Threat Intelligence

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.You can listen and download our episodes for free on more than 10 different platforms:https://linktr.ee/cyber_security_summaryGet the Book now from Amazon:https://www.amazon.com/Analytics-Intelligent-Systems-Threat-Intelligence/dp/8770227780?&linkCode=ll1&tag=cvthunderx-20&linkId=969e1d1ba9499f604655ad35c6a855df&language=en_US&ref_=as_li_ss_tlDiscover our free courses in tech and cybersecurity, Start learning today:https://linktr.ee/cybercode_academy

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