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REFACING: An autonomic approach to network security based on multidimensional trustworthiness

机译：REFACING：基于多维可信赖性的网络安全自主方法

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Several research efforts have recently focused on achieving distributed anomaly detection in an effective way. As a result, new information fusion algorithms and models have been defined and applied in order to correlate information from multiple intrusion detection sensors distributed inside the network. In this field, an approach which is gaining momentum in the international research community relies on the exploitation of the Dempster-Shafer (D-S) theory. Dempster and Shafer have conceived a mathematical theory of evidence based on belief functions and plausible reasoning, which is used to combine separate pieces of information (evidence) to compute the probability of an event. However, the adoption of the D-S theory to improve distributed anomaly detection efficiency generally involves facing some important issues. The most important challenge definitely consists in sorting the uncertainties in the problem into a priori independent items of evidence. We believe that this can be effectively carried out by looking at some of the principles of autonomic computing in a self-adaptive fashion, i.e. by introducing support for self-management, self-configuration and self-optimization functionality. In this paper, we intend to tackle some of the above mentioned issues by proposing the application of the D-S theory to network information fusion. This will be done by proposing a model for a self-management supervising layer exploiting the innovative concept of multidimensional reputation, which we have called REFACING (RElationship-FAmiliarity-Con-fidence-INteGrity).
机译：最近的一些研究工作集中在以有效的方式实现分布式异常检测。结果，已经定义并应用了新的信息融合算法和模型，以便关联来自分布在网络内部的多个入侵检测传感器的信息。在这一领域，国际研究界正在兴起的一种方法依赖于Dempster-Shafer（D-S）理论的开发。 Dempster和Shafer构想了基于信念函数和合理推理的证据数学理论，该理论用于组合单独的信息（证据）以计算事件的概率。然而，采用D-S理论来提高分布式异常检测效率通常涉及一些重要问题。无疑，最重要的挑战在于将问题的不确定性归类为先验独立的证据。我们认为，这可以通过以自适应方式查看自主计算的一些原理来有效地实现，即通过引入对自我管理，自我配置和自我优化功能的支持。在本文中，我们打算通过提出将D-S理论应用于网络信息融合来解决上述一些问题。这将通过提出一个利用多维声誉的创新概念的自我管理监督层模型来完成，我们将这种模型称为REFACING（关系-亲和力-信心-诚信-完整性）。

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