论文标题
基于代理的建模和模拟D2D网络中传播的恶意软件
Agent-based modeling and simulation for malware spreading in D2D networks
论文作者
论文摘要
本文提出了一种新的多代理模型，用于模拟设备到设备（D2D）5G网络中的恶意软件传播。该模型允许在此类高度动态的网络中理解和分析移动恶意软件的动态。此外，我们提出了一项理论研究，以验证和基准对某些基本场景的建议方法，这些方法对数学上的建模不那么复杂，也强调了模型的关键参数。我们的模拟确定了“无繁殖”和“最大恶意软件传播”的关键阈值，并对恶意软件开发速度和设备感染率进行预测。据我们所知，本文是第一个应用基于代理的模拟用于D2D中的恶意软件传播的研究。
This paper presents a new multi-agent model for simulating malware propagation in device-to-device (D2D) 5G networks. This model allows to understand and analyze mobile malware-spreading dynamics in such highly dynamical networks. Additionally, we present a theoretical study to validate and benchmark our proposed approach for some basic scenarios that are less complicated to model mathematically and also to highlight the key parameters of the model. Our simulations identify critical thresholds for "no propagation" and for "maximum malware propagation" and make predictions on the malware-spread velocity as well as device-infection rates. To the best of our knowledge, this paper is the first study applying agent-based simulations for malware propagation in D2D.
