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Cyber Secure Man-in-the-Middle Attack Intrusion Detection Using Machine Learning Algorithms

Cyber Secure Man-in-the-Middle Attack Intrusion Detection Using Machine Learning Algorithms
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Author(s): Jayapandian Natarajan (Christ University, India)
Copyright: 2020
Pages: 26
Source title: AI and Big Data’s Potential for Disruptive Innovation
Source Author(s)/Editor(s): Moses Strydom (Emeritus, France) and Sheryl Buckley (University of South Africa, South Africa)
DOI: 10.4018/978-1-5225-9687-5.ch011

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Abstract

The main objective of this chapter is to enhance security system in network communication by using machine learning algorithm. Cyber security network attack issues and possible machine learning solutions are also elaborated. The basic network communication component and working principle are also addressed. Cyber security and data analytics are two major pillars in modern technology. Data attackers try to attack network data in the name of man-in-the-middle attack. Machine learning algorithm is providing numerous solutions for this cyber-attack. Application of machine learning algorithm is also discussed in this chapter. The proposed method is to solve man-in-the-middle attack problem by using reinforcement machine learning algorithm. The reinforcement learning is to create virtual agent that should predict cyber-attack based on previous history. This proposed solution is to avoid future cyber middle man attack in network transmission.

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