利用几何级数的恶意软件传播的综合研究

S. Tripathy, Sisira Kumar Kapat, R. Patro, Susant Kumar Das
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引用次数: 0

摘要

本文着重从数学上描述了恶意软件的传播,并展示了恶意软件在一个定义明确的超大规模网络中的增长情况。传播是指恶意软件进入系统,以及在网络环境中将恶意软件从一台设备复制到另一台设备。我们假设网络是SNS。我们还讨论了恶意软件在传播时使用的闭包属性。这些属性对于检测和避免恶意软件非常有用。我们计算了无防御的几何进展系统的感染系统数,并将方程修正为实际网络的感染系统数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Comprehensive Study of Malware Propagation Using Geometric Progression
This paper focuses to present malware propagation mathematically and it also shows how the population of malware grows in a well-defined ultra-large sized network. The propagation refers to entry of a malware to a system as well as copying malware from one device to another in networked environment. We assumed the network to be SNS. We have also discussed the closure properties used by malware while propagation. The properties are quite useful to detect and avoid malware. We have calculated the number of infected system in a geometrically progressed system without defense and modified the equation to calculate the number of infected system for practical network.
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