Singh, RajeevRakesh Kumar2019-11-202019-11-202019-08http://krishikosh.egranth.ac.in/handle/1/5810135748In the field of Information Technology, cyber security plays a vital role. Securing information is the biggest challenge now a days. As the word cyber security comes in our mind the fear of cybercrime also comes in our mind at the same time. Cyber threats are nothing but an activity by which any targeted system can be compromised by altering the availability, integrity, and confidentiality of the system. To overcome such type of threats there are number of mechanisms available. Recently the Machine Learning (ML) approaches have proved to be a milestone for the detection of cyber threats using classification of NetFlows. The NetFlow is a network protocol designed by CISCO which is used to collect the network traffic (NetFlows). In this research work J48 and Random Forest (RF) machine learning algorithms are used for classification of cyber threats using NetFlows. The results are obtained by applying classification algorithms on NetFlows using Weka ML tool and RStudio. A comparison is made in various perspectives like accuracy, true positive (TP), false positive (FP), etc.ennullThesis