The Comparison of the Text Classification Methods to be Used for the Analysis of Motion Data in DLP Architect

Text classification is used for the purpose of preventing the leakage of the data which is highly important within the institution through unallowed ways. The results obtained from the text classification process should be integrated into the DLP architecture immediately. The data flowing through the net requires instant control and the flow of the sensitive data should be prevented. The use of the machinery learning methods is required to perform the text classification which will be integrated into the DLP architecture. The experimental results of the comparison of text classification methods to be used in the interface written on the ICAP protocol have been prepared in the networked architecture developed for the DLP system. Also, the choice of the text classification method to be used in the instant control of the sensitive data has been carried out. The DLP text classification architecture developed helps decide the classification method through the examination of the data in motion. The method to be chosen for the text classification is applied to the ICAP protocol, and the analysis of the sensitive data and confidentiality are provided.