The honeynet, as a promising technology, is increasingly used to actively discover novel network viruses in order to provide more effective defense strategies for the protected network in advance. The state-of-the-art network models aim to investigate the mutual effect between the honeynet and the protected network, however they have not fully exploited the potential of the intelligent honeynet. Compared with the conventional honeynet, the intelligent honeynet has made great progress in data control, data analysis, dynamic deployment, etc., which can provide more valuable information and flexible defense mechanisms for network defenders. In this paper, we propose a novel mathematical model of the intelligent honeynet to explore and prevent the propagation of industrial viruses in the Supervisory Control and Data Acquisition (SCADA) network. Through combining the intelligent honeynet with some traditional defense measures, we present a comprehensive and practical defense mechanism for the SCADA network, which can provide active and dynamic system-level and network-level defense. A theoretical analysis is provided to obtain the virus-free and virose equilibriums and demonstrate the locally and globally asymptotic stabilities of the proposed model. Moreover, A large number of numerical experiments are conducted to confirm the theoretical analysis and the superior defense performance of the proposed defense mechanism over the existing models.

蜜网作为一种很有前途的技术，越来越多地用于主动发现新的网络病毒，以便提前为受保护的网络提供更有效的防御策略。最先进的网络模型旨在研究蜜网与受保护网络之间的相互影响，但尚未充分发挥智能蜜网的潜力。与传统蜜网相比，智能蜜网在数据控制、数据分析、动态部署等方面有了长足的进步，可以为网络防御者提供更有价值的信息和灵活的防御机制。在本文中，我们提出了一种新的智能蜜网数学模型，以探索和防止工业病毒在监控和数据采集 (SCADA) 网络中的传播。通过将智能蜜网与一些传统防御措施相结合，我们提出了一种全面实用的SCADA网络防御机制，可以提供主动和动态的系统级和网络级防御。提供了理论分析以获得无病毒和病毒平衡，并证明了所提出模型的局部和全局渐近稳定性。此外，还进行了大量数值实验，以证实所提出的防御机制相对于现有模型的理论分析和优越的防御性能。提供了理论分析以获得无病毒和病毒平衡，并证明了所提出模型的局部和全局渐近稳定性。此外，还进行了大量数值实验，以证实所提出的防御机制相对于现有模型的理论分析和优越的防御性能。提供了理论分析以获得无病毒和病毒平衡，并证明了所提出模型的局部和全局渐近稳定性。此外，还进行了大量数值实验，以证实所提出的防御机制相对于现有模型的理论分析和优越的防御性能。