Applications of Machine Learning in Cyber Security

Abstract

With the exponential rise in technological awareness in the recent decades, technology has taken over our lives for good, but with the application of computer-aided technological systems in various domains of our day-to-day lives, the potential risks and threats have also come to the fore, aiming at the various security features that include confidentiality, integrity, authentication, authorization, and so on. Computer scientists the world over have tried to come up, time and again, with solutions to these impending problems. With time, attackers have played out complicated attacks on systems that are hard to comprehend and even harder to mitigate. The very fact that a huge amount of data is processed each second in organizations gave birth to the concept of Big Data, thereby making the systems more adept and intelligent in dealing with unprecedented attacks on a real-time basis. This chapter presents a study about applications of machine learning algorithms in cyber security.

A Review on Machine Learning Strategies for Real-World Engineering Applications

“…Learning for Cyber Security. Artificial Intelligence and Machine Learning are widely accepted and utilized in various fields like Cyber Security [94][95][96][97][98][99][100][101][102][103], design and manufacturing [104], medicine [105][106][107][108], education [109], and finance [110][111][112]. Machine Learning techniques are used widely in the following areas of cyber security intrusion detection [113][114][115][116], dark web or deep web sites [117,118], phishing [119][120][121], malware detection [122][123][124][125], fraud detection [126][127][128][129], and spam classification [130][131][132][133].…”

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