Data-mining a mechanism against cyber threats: A review

Data mining is the process in that analyzing of data from different perspective and summarizes that data into some useful information which can be used to enhance the revenue generation, cost cutting etc. In data mining, cluster formation plays a vital role which is data can be divided into different groups. Clustering is the technique in which grouping is based on similar type of data relevant to different attributes. WEKA is the most important tool of data mining which is used to allocate and clustering of data with use of various machine learning algorithms. The purpose of this paper is to compare different algorithms of machine learning on the subject of types of data set, their size, number of clusters and cyber privacy platform. We also discuss different types of cyber threats in computing world.