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From physical security to cybersecurity

机译:从物理安全到网络安全

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摘要

Security is a critical concern around the world. In many domains from cybersecurity to sustainability, limited security resources prevent complete security coverage at all times. Instead, these limited resources must be scheduled (or allocated or deployed), while simultaneously taking into account the importance of different targets, the responses of the adversaries to the security posture, and the potential uncertainties in adversary payoffs and observations, etc. Computational game theory can help generate such security schedules. Indeed, casting the problem as a Stackelberg game, we have developed new algorithms that are now deployed over multiple years in multiple applications for scheduling of security resources. These applications are leading to real-world use-inspired research in the emerging research area of “security games.” The research challenges posed by these applications include scaling up security games to real-world-sized problems, handling multiple types of uncertainty, and dealing with bounded rationality of human adversaries. In cybersecurity domain, the interaction between the defender and adversary is quite complicated with high degree of incomplete information and uncertainty. While solutions have been proposed for parts of the problem space in cybersecurity, the need of the hour is a comprehensive understanding of the whole space including the interaction with the adversary. We highlight the innovations in security games that could be used to tackle the game problem in cybersecurity.
机译:安全是全世界的关键问题。在从网络安全到可持续性的许多领域中,有限的安全资源始终无法确保完整的安全覆盖。相反,必须计划(或分配或部署)这些有限的资源,同时要考虑到不同目标的重要性,对手对安全态势的反应以及对手的收益和观察结果的潜在不确定性等。计算游戏理论可以帮助生成此类安全计划。确实,将问题归结为Stackelberg游戏,我们已经开发了新算法,现在已经在多个应用程序中部署了多年,用于调度安全资源。这些应用程序正在“安全游戏”的新兴研究领域中引发以现实世界为灵感的使用研究。这些应用程序带来的研究挑战包括将安全性游戏扩展到现实世界中的问题,处理多种类型的不确定性以及应对人类对手的有限理性。在网络安全领域,防御者与对手之间的交互非常复杂,信息高度不完整且不确定。虽然已针对网络安全中问题空间的某些部分提出了解决方案,但小时的需求是对整个空间的全面理解,包括与对手的互动。我们重点介绍可用于解决网络安全游戏问题的安全游戏创新。

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