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With rapidly increment of internet traffic, the importance of cyber security also increases significantly. Several areas like IP traffic classifications, detection of - intrusion, spam and malware becomes important to be considered. To overcomes the cyber security issues traditional techniques are not enough. It is essential to adapt the ongoing changes to keep security always up to date and It can't be denied that the web of Machine Learning keeps increasing in the digital world. The Cyber Security also adopt the Machine Learning to overcome the limitations of algorithms based on traditional rules and to make them more efficient with their integration with Artificial Intelligence. Although complete automation of analysis and detection is enticing goal, but the significant parts of cyber security can be improved. In this paper we will see how several algorithms of Machine Learning can be used to overcome the popular issues faced by cyber security.
Soni et al. (Mon,) studied this question.
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