This document provides a in-depth overview of the evolving field of detecting anomalous behavior. It explores the driving forces behind sme identification, encompassing both theoretical and practical aspects. The review delves into various approaches used for sme detection, ranging from rule-based methods to neural networks. It also discusses the l