Heterogeneous parameters for accuracy threat

Abstract

In this paper, we propose a new approach for increasingly accuracy and precision detection/prevention threat and exploratory phase correlation event in parameters to comprehensive scanning with multiple threat collection. First, we collect data from parameters which we observed previously. Second, find the best method through literature review to integrate the different parameters of collecting information from different structure, label, and variable of data. Finally, we present parameters threat correlation using data mining approach to respond and protect against threat more quickly and updated. Expectation from this research is to obtain a recognition mechanism suspicious threat to be identified before entering and damaging the network.