An effective evaluation framework for security systems using ordinary differential equations
Year: 2025
Type: article
Abstract: Security systems play a crucial role in safeguarding individuals, their personal belongings, and properties. The effectiveness of a security system depends largely on prudent investment and proper implementation, thereby ensuring the comprehensive protection of property owners’ lives and assets. This paper introduces a three-dimensional ordinary differential equations (ODEs) dynamic model that characterizes the offensive and defensive interactions among property owners, criminals, and security systems. From a mathematical perspective, we analyze the global dynamical behavior of the model and employ numerical simulations to explore the interactions among the three entities. Theoretical analysis and simulation results confirm that the ODEs model effectively captures the offense-defense dynamics among the involved parties. Furthermore, by applying real-world social data in the numerical simulations, the model’s validity is empirically verified. Through an examination of how variations in key parameters affect property owners, criminals, and security systems, this study proposes actionable recommendations to enhance the performance of security systems in protecting property owners from criminal threats.
Authors: Yishuai Liu, Songbai Guo, Tieying Wang, Hua Jin
Language: English
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $1,890
Award: G8946109279
OpenAlex ID: W4416952123
