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Topological protection from the next generation malware: a survey

机译:下一代恶意软件的拓扑保护:一项调查

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The spreading of dangerous malware in inter-dependent networks of electronics devices has raised deep concern, because from the 1CT networks infections may propagate to other critical infrastructures producing the well-known domino effect. Researchers are attempting to develop a high level analysis of malware propagation, discarding software details, in order to generalise to the maximum extent the defensive strategies. It has been suggested that the maximum eigenvalue could act as a threshold for the malware spreading. This paper presents a new proof of this statement and an original way to classify the max eigenvalue minimisation problem (NP-hard). A study of the Italian internet autonomous system verifying the theoretical threshold is shown. Finally, it shows how to stop a worm in a real LAN using a new sub-optimal algorithm. Such algorithm suggests which nodes to protect for limiting the worm diffusion according to the spectral paradigm.
机译:危险恶意软件在相互依存的电子设备网络中的传播引起了广泛的关注,因为感染可能从1CT网络传播到其他关键基础设施,从而产生众所周知的多米诺骨牌效应。研究人员正在尝试对恶意软件传播进行高级分析,并丢弃软件详细信息,以最大程度地推广防御策略。已经提出,最大特征值可以用作恶意软件传播的阈值。本文提出了该陈述的新证明,以及对最大特征值最小化问题(NP-hard)进行分类的原始方法。显示了对意大利互联网自治系统的研究,验证了理论门槛。最后,它展示了如何使用新的次优算法在实际的LAN中阻止蠕虫。这种算法根据频谱范式建议保护哪些节点以限制蠕虫扩散。

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