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Dynamical model for individual defence against cyber epidemic attacks

机译:个人防御网络流行病攻击的动力学模型

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摘要

When facing the on-going cyber epidemic threats, individuals usually set up cyber defences to protect their own devices. In general, the individual-level cyber defence is considered to mitigate the cyber threat to some extent. However, few previous studies focus on the interaction between individual-level defence and cyber epidemic attack from the perspective of dynamics. In this study, the authors propose a two-way dynamical framework by coupling the individual defence model with the cyber epidemic model to study the interaction between the network security situation and individual-level defence decision. A new individual-based heterogeneous model for cyber epidemic attacks is established to emphasise the individual heterogeneity in defence strategy. In the meanwhile, a Markov decision process is used to characterise the defence decision in the individual defence decision model. The theoretical and numerical results illustrate that the individual-level defence can dampen the cyber epidemic attack, but the current network security situation, in turn, influences the individual defence decision. Moreover, they obtain a glimpse of the network security situation and the individual defence with respect to different cyber epidemic scenarios.
机译:当面对持续的网络流行威胁时,个人通常会设置网络防御以保护自己的设备。通常,个人级别的网络防御被认为可以在一定程度上缓解网络威胁。但是,以前很少有研究从动力学的角度关注个人级防御与网络流行病攻击之间的相互作用。在这项研究中,作者通过将个人防御模型与网络流行模型耦合,提出了一种双向动力学框架,以研究网络安全状况与个人级别防御决策之间的相互作用。建立了新的基于个体的网络流行病攻击异质模型,以强调防御策略中的个体异质性。同时,在个体防御决策模型中,采用马尔可夫决策过程来表征防御决策。理论和数值结果表明,个人级别的防御可以抑制网络流行病的攻击,但是当前的网络安全状况反过来会影响个人防御的决策。此外,他们还可以了解不同网络流行情况下的网络安全状况和个人防御。

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