The dynamics of information warfare in an attacker-defender scenario pose significant challenges in today's digital age. To address these challenges, this research proposes a model based on the modified Lotka-Volterra equations, originally developed for predator-prey interactions in ecological systems, to analyze and simulate the population dynamics of attackers and defenders in information warfare. The model captures the growth, interaction, and feedback loop between the attacker and defender populations, allowing for a comprehensive understanding of their dynamics over time. In this model, the attacker equation incorporates parameters for the attacker's growth rate and the impact of defenders on attackers. Similarly, the defender equation considers the defender's natural decline rate and the influence of attackers on defenders. By discretizing time into small intervals and employing Euler's method, the model enables real-time simulation of the attacker-defender scenario. The simulation spans a time interval of 100 units, providing insights into the population dynamics and equilibrium points of the attacker and defender populations. The research findings highlight the model's effectiveness in capturing the dynamics of information warfare. The simulation results showcase the initial growth of the attacker population, followed by a decline as defenders implement effective countermeasures. Conversely, the defender population grows and stabilizes as their defensive capabilities improve. The research contributes to the growing body of knowledge in information warfare and provides insights for the development of robust defence strategies.