资源分配竞赛中的预防性-反应性防御权衡

IF 2.4 Q2 AUTOMATION & CONTROL SYSTEMS
Keith Paarporn;Shouhuai Xu
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引用次数: 0

摘要

现代计算机网络技术所带来的连通性为对抗性攻击带来了漏洞。尽管能够防止所有可能的网络攻击是最理想的,但这在实践中既不可能也不可行,社会必须接受攻击不可避免的事实。虽然许多著作都在研究最优安全策略,以尽量减少攻击成功的几率,但仍有许多领域尚未开发。在这封信中,我们提出并研究了一个新问题,即应在用于防止攻击(即预防性防御)的精力或资源与用于从攻击中恢复(即反应性防御)的精力或资源之间进行权衡。我们将这一问题表述为防御方和攻击方之间的资源分配博弈,即他们决定如何分配资源来分别防御和攻击一组节点(如计算机)。博弈分两个阶段进行。(i) 分配预防性资源,降低节点被攻击者成功入侵的概率。(ii) 被攻击的节点需要经历恢复过程,这可以通过分配更多的反应性防御资源来加快恢复速度。我们的结果完全描述了这一博弈的纳什均衡,揭示了防御者对预防性资源和反应性资源的最优分配。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Preventive-Reactive Defense Tradeoffs in Resource Allocation Contests
The connectivity enabled by modern computer networking technologies introduces vulnerabilities to adversarial attacks. Although it is ideal to be able to prevent all possible cyber attacks, this is not possible or feasible in practice and society must accept that attacks are inevitable. While many works study optimal security policies to minimize the chance of successful attacks, there are many unexplored territories. In this letter, we formulate and investigate a new problem, namely the tradeoff between the effort or resource that should be spent on preventing attacks (i.e., preventive defense) and the effort or resource that should be spent on recovering from attacks (i.e., reactive defense). We formulate the problem as a resource allocation game between the defender and the attacker, where they decide how to allocate resources to defend and attack a set nodes (e.g., computers), respectively. The game unfolds in two phases. (i) Allocate preventive resources to reduce the probabilities that the nodes are successfully compromised by the attacker. (ii) The compromised nodes undergo a recovery process, which can be sped up with the allocation of more reactive defense resources. Our results completely characterize the Nash equilibria of this game, revealing the defender’s optimal allocation of preventive versus reactive resources.
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来源期刊
IEEE Control Systems Letters
IEEE Control Systems Letters Mathematics-Control and Optimization
CiteScore
4.40
自引率
13.30%
发文量
471
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