<p>Cyber ranges have evolved into indispensable environments for training personnel in the field of cyber defense. A critical aspect of improving the authenticity of these simulations involves the use of traffic generators that accurately replicate real network traffic patterns. This article delves into the crucial role traffic generators play within cyber ranges, highlighting their pivotal contribution to equipping personnel with the skills needed to respond effectively to cyber threats. To address the modeling and validation of traffic generators in a comprehensive way, diverse approaches must be considered in cyber range training. To shed light on this topic, this review adopts a modified Scopus-based search methodology, providing in-depth insight into the methodologies and validation methods associated with traffic generator modeling and validation. The analysis showed that the traffic generators used for computer network security training purposes can be broadly categorized into three main methodologies: model-based, trace-based, and hybrid approaches. Each of these methodologies has its own set of applications, limitations, and advantages. These factors have a direct influence on the validation parameters associated with these methodologies.</p>