Take the rein of cyber deterrence

Jim Q. Chen
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引用次数: 1

Abstract

Deterrence is badly needed in the cyber domain but it is hard to be achieved. Why is conventional deterrence not working effectively in the cyber domain? What specific characteristics should be considered when deterrence strategies are developed in this man-made domain? These are the questions that this paper intends to address. The research conducted helps to reveal what cyber deterrence can do and what it cannot do so that focus can be put on the enhancement of what it can do. To include varied perspectives, literature review is conducted. Some research works are specifically examined. Based on these studies, this research proposes a holistic approach in cyber deterrence that is empowered by artificial intelligence and machine learning. This approach is capable of making sudden, dynamic, stealthy, and random changes initiated by different contexts. It is able to catch attackers by surprise. The surprising and changing impact inflicts a cost on attackers and makes them to re-calculate the benefits that they might gain through further attacks, thus discouraging or defeating adversaries both mentally and virtually, and eventually controlling escalation of cyber conflicts.
以网络威慑为例
在网络领域,威慑是迫切需要的,但很难实现。为什么传统威慑在网络领域不起作用?在这一人造领域制定威慑战略时,应考虑哪些具体特征?这些都是本文要探讨的问题。所进行的研究有助于揭示网络威慑可以做什么和不能做什么,以便将重点放在增强其可以做什么上。为了纳入不同的观点,我们进行了文献综述。一些研究工作是专门审查。在这些研究的基础上,本研究提出了一种基于人工智能和机器学习的网络威慑整体方法。这种方法能够做出突然的、动态的、隐秘的和随机的变化,这些变化是由不同的环境引发的。它能让攻击者措手不及。这种令人惊讶和不断变化的影响使攻击者付出代价,使他们重新计算通过进一步攻击可能获得的利益,从而在精神上和虚拟上打击或击败对手,并最终控制网络冲突的升级。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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