Efficient Management of Harmful Software in Computer Networks Using Quarantine and Isolation Methods

In this study, we introduce an enhanced electronic SQEIJS model (e-SQEIJS), designed to analyze and mitigate the behavior of malicious codes within computer networks. The model incorporates key compartments: Susceptible (S), Quarantined (Q), Exposed (E), Infectious (I), and Isolated (J), to represent the progression of malicious code attacks and the impact of defense strategies like quarantine and isolation. By employing stability analysis, we evaluate the system’s behavior under varying conditions. A crucial metric, the basic reproduction number (R₀), is derived to determine the model’s stability. When R₀< 1, the system achieves a stable, virus-free equilibrium, indicating successful control of the malicious code. Conversely, R₀>1 denotes instability, suggesting the potential spread of the malware within the network. The system of equations is solved using numerical techniques, allowing for comprehensive analysis and validation of the model. This approach reveals critical insights into the dynamics of malware propagation and the efficacy of the proposed containment strategies. The findings emphasize the importance of quarantine and isolation in securing networks, providing a robust framework for understanding and controlling malicious code outbreaks in digital environments.