Insider Threat Prediction Techniques: A Systematic Review Paper

The aim of this study is to increase comprehension and provide a systematic review of insider threat prediction techniques explored by previous researchers. The advantages and disadvantages of machine learning techniques, statistical techniques, hybrid techniques, and knowledge-based techniques are highlighted. In addition, prospective work obstacles and suggestions have been discussed. This study examined insider threat prediction trends in scholarly articles published between 2007 and 2022. Researchers, practitioners, and policymakers who are interested in predicting insider threats should find this study beneficial.