Main Article Content
Abstract
AB STRACT
Research work needs data. Data collection, data analysis, data cleaning, data feature extractions, data processing, and results, all these processes based on data. Therefore, data is very important for research
work and accuracy of results. Insider threat detection based on the anomalous behavior of users in the work place. Insiders have privileges to access the data l egally. If there are disgruntled, careless, and
malicious users in an organization, then the data is on risk . This risk factor can remove by identifying the anomalous behavior of the users. For the identification of malicious users, one has to monitor log data to
detect abnormal behavior. The violation of the privacy of individuals in an organization and disclose confidential data are not allowing the researcher to collect the primary data for the study. This research
paper proposed how to generate data for insider threat detection based on the anomalous behavior of users.