Cyber defense is reactive and slow. On average, the time-to-remedy is hundreds of times larger than the time-to-compromise. In response to the expanding ever-more-complex threat landscape, Digital Twins (DTs) and particularly Human Digital Twins (HDTs) offer the capability of running massive simulations across multiple knowledge domains. Simulated results may offer insights into adversaries' behaviors and tactics, resulting in better proactive cyber-defense strategies. For the first time, this paper solidifies the vision of DTs and HDTs for cybersecurity via the Cybonto conceptual framework proposal. The paper also contributes the Cybonto ontology, formally documenting 108 constructs and thousands of cognitive-related paths based on 20 time-tested psychology theories. Finally, the paper applied 20 network centrality algorithms in analyzing the 108 constructs. The identified top 10 constructs call for extensions of current digital cognitive architectures in preparation for the DT future.

中文翻译：

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Cybonto：面向网络安全的人类认知数字孪生

网络防御是被动的且缓慢的。平均而言，补救时间比妥协时间长数百倍。为应对日益复杂的威胁形势，数字孪生 (DT) 尤其是人类数字孪生 (HDT) 提供了跨多个知识领域运行大规模模拟的能力。模拟结果可以深入了解对手的行为和战术，从而制定更好的主动网络防御策略。本文首次通过 Cybonto 概念框架提案巩固了 DT 和 HDT 对网络安全的愿景。该论文还贡献了 Cybonto 本体，基于 20 个久经考验的心理学理论，正式记录了 108 个结构和数以千计的认知相关路径。最后，该论文应用了 20 种网络中心性算法来分析 108 种结构。确定的前 10 个结构要求扩展当前的数字认知架构，为 DT 的未来做好准备。