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Epidemic Spreading of Computer Worms in Fixed Wireless Networks

机译:固定无线网络中计算机蠕虫的流行传播

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摘要

Worms are stand-alone computer viruses which use networks for their spreading among computing devices. The last few years have seen the emergence of a new type of worms which specifically target portable computing devices, such as smartphones and laptops. The novel feature of these worms is that they do not necessarily require Internet connectivity for their propagation but can spread directly from device to device using a short-range communication technology, such as Bluetooth or WiFi. In this paper we use a combination of large-scale simulations and mathematical modelling to explore epidemic spreading of wireless worms in fixed ad-hoc networks. We show that the spreading of worms in these networks is greatly affected by a combination of spatial correlations arising from network topology and temporal correlations resulting from the interference-limited nature of communications in thees networks. Standard mean-field and network mean-field models from mathematical biology, which are widely used to model worm epidemics in computer networks, are inadequate for describing worm epidemics in wireless adhoc networks but spatial epidemic models provide a promising alternative.
机译:蠕虫是独立的计算机病毒,使用网络在计算设备之间传播。在最近几年中,出现了一种新型蠕虫,该蠕虫专门针对便携式计算设备,例如智能手机和笔记本电脑。这些蠕虫的新颖特征在于,它们的传播不一定需要Internet连接,而是可以使用短距离通信技术(例如蓝牙或WiFi)在设备之间直接传播。在本文中,我们将大规模仿真和数学建模相结合,以研究无线蠕虫在固定自组织网络中的流行性传播。我们表明,蠕虫在这些网络中的传播受到网络拓扑结构引起的空间相关性和这些网络中通信受干扰限制的性质导致的时间相关性的组合的极大影响。数学生物学的标准平均场和网络平均场模型已被广泛用于在计算机网络中对蠕虫流行进行建模,但不足以描述无线自组织网络中的蠕虫流行,但空间流行模型提供了一个有希望的替代方案。

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