A novel analytical framework to model malware diffusion in heterogeneous wireless networks

Hoai-Nam Nguyen, Y. Shinoda
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引用次数: 3

Abstract

Now that smart phones can interact with computers through numerous interface technologies such as Bluetooth, infrared, or the 802.11 family of IEEE specifications, they are working in an environment where malware can propagate. While many studies have modeled malware proliferation, little has been done to take into account the different types of devices that may exist in an ad hoc wireless network. We have therefore developed two novel models that consider diversity of entity as well as interactions between different classes of network items to see how those features affect the spread of a disease. Our models, based on a 4-compartment epidemic method, also have taken into consideration various states that a device may undergo when it gets infected by the malware. We propose these analytical models as an aid to understanding the spread of malware through a network. A huge result space is producible by our framework thus makes it appropriate to describe many viral proliferating scenarios. In addition, we have developed a formula to calculate the possible average number of newly infected devices in the considered system. An important contribution of our work is the comprehension of item diversity, which has influence on the viral propagation. We have found that more types of network item cause a higher risk that malware spreads wider.
一种新的分析框架来模拟恶意软件在异构无线网络中的扩散
现在,智能手机可以通过多种接口技术(如蓝牙、红外或IEEE 802.11系列规范)与计算机进行交互,它们工作在一个恶意软件可以传播的环境中。虽然许多研究都模拟了恶意软件的扩散,但很少有人考虑到在自组织无线网络中可能存在的不同类型的设备。因此,我们开发了两种新的模型,考虑了实体的多样性以及不同类别网络项目之间的相互作用,以了解这些特征如何影响疾病的传播。我们的模型基于四区流行病方法,也考虑了设备被恶意软件感染时可能经历的各种状态。我们提出这些分析模型来帮助理解恶意软件在网络中的传播。我们的框架产生了巨大的结果空间,因此使其适合描述许多病毒增殖场景。此外,我们还开发了一个公式来计算所考虑的系统中可能的新感染设备的平均数量。我们的工作的一个重要贡献是对项目多样性的理解,它对病毒式传播有影响。我们发现,更多类型的网络项目导致恶意软件传播范围更广的风险更高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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