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ADAPT: A Game Inspired Attack-Defense and Performance Metric Taxonomy

机译：ADAPT：一种启发游戏攻防和性能指标分类法的游戏

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Game theory has been researched extensively in network security demonstrating an advantage of modeling the interactions between attackers and defenders. Game theoretic defense solutions have continuously evolved in most recent years. One of the pressing issues in composing a game theoretic defense system is the development of consistent quantifiable metrics to select the best game theoretic defense model. We survey existing game theoretic defense, information assurance, and risk assessment frameworks that provide metrics for information and network security and performance assessment. Coupling these frameworks, we propose a game theoretic approach to attack-defense and performance metric taxonomy (ADAPT). ADAPT uses three classifications of metrics: (ⅰ) Attacker, (ⅱ) Defender (ⅲ) Performance. We proffer ADAPT with an attempt to aid game theoretic performance metrics. We further propose a game decision system (GDS) that uses ADAPT to compare competing game models. We demonstrate our approach using a distributed denial of service (DDoS) attack scenario.
机译：博弈论已在网络安全中进行了广泛研究，证明了对攻击者与防御者之间的交互进行建模的优势。近年来，博弈论防御解决方案不断发展。组成博弈论防御系统的紧迫问题之一是开发一致的可量化指标以选择最佳博弈论防御模型。我们调查了现有的博弈论防御，信息保证和风险评估框架，这些框架为信息和网络安全以及性能评估提供了指标。结合这些框架，我们提出了一种针对攻击防御和性能指标分类法（ADAPT）的博弈论方法。 ADAPT使用三种度量标准分类：（ⅰ）攻击者，（ⅱ）防御者（ⅲ）性能。我们提供ADAPT来尝试帮助游戏理论性能指标。我们还提出了一种使用ADAPT比较竞争游戏模型的游戏决策系统（GDS）。我们使用分布式拒绝服务（DDoS）攻击方案演示了我们的方法。

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