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Applications of Machine Learning and Data Mining for Cyber Security Dahiya Ruby, Anamika Associate Professor (IT), Institute of Information Technology & Management Online published on 15 June, 2017. Abstract Security is an essential objective in any digital communication. Nowadays, there is enormous information, lots of protocols, too many layers and applications, and massive use of these applications for various tasks. With this wealth of information, there is also too little information about what is important for detecting attacks. Methods of machine learning and data mining can help to build better detectors from massive amounts of complex data. Such methods can also help to discover the information required to build more secure systems, free of attacks. This paper will highlight the applications of machine learning and data mining techniques for securing data in huge network of computers. This paper will also present the review of applications of data mining and machine learning in the field of computer security. The papers which will be reviewed here, present the results of various techniques of data mining and machine learning on different performance parameters. Top Keywords Data mining, Machine Learning, Artificial Neural Networks, Classification, Clustering, Inductive Learning, Evolution Learning, Support Vector Machine. Top | |
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