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Modeling the propagation of mobile malware on complex networks

机译:对复杂网络上移动恶意软件的传播进行建模

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In this paper, the spreading behavior of malware across mobile devices is addressed. By introducing complex networks to model mobile networks, which follows the power-law degree distribution, a novel epidemic model for mobile malware propagation is proposed. The spreading threshold that guarantees the dynamics of the model is calculated. Theoretically, the asymptotic stability of the malware-free equilibrium is confirmed when the threshold is below the unity, and the global stability is further proved under some sufficient conditions. The influences of different model parameters as well as the network topology on malware propagation are also analyzed. Our theoretical studies and numerical simulations show that networks with higher heterogeneity conduce to the diffusion of malware, and complex networks with lower power-law exponents benefit malware spreading. (C) 2016 Elsevier B.V. All rights reserved.
机译:在本文中,解决了恶意软件在移动设备上的传播行为。通过引入遵循幂律分布的复杂网络对移动网络进行建模,提出了一种用于移动恶意软件传播的新型流行模型。计算保证模型动态的扩展阈值。从理论上讲,当阈值低于1时,可以确定无恶意软件均衡的渐近稳定性,并在某些充分条件下进一步证明了全局稳定性。还分析了不同模型参数以及网络拓扑对恶意软件传播的影响。我们的理论研究和数值模拟表明,异构性较高的网络有助于恶意软件的传播,而幂律指数较低的复杂网络则有利于恶意软件的传播。 (C)2016 Elsevier B.V.保留所有权利。

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