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Defining threats across organizational boundaries

机译:定义跨组织边界的威胁

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摘要

Threats against systems are continually changing and evolving. The ability to secure systems against them is an ongoing battle. One of the most difficult responsibilities that security experts face is the need to take the intangible threats and complex security information and explain it to stakeholders with enough clarity as to allow for decision making. There are typically, multiple levels of stakeholders, needing various levels of brevity or insight in order to react to the information. The Chief Executive Officer (CEO) needs brevity, the lead security engineer needs enough information in order to make technical trade-offs.Both Bayesian networks and concept mapping are based on patterns. They both look to provide insight into information based on pattern relations. Bayesian networks provide a method to look at the probabilities associated with events occurring. Concept maps show perceived regularities in events or objects by the use of labels. The use of concept maps has been shown to provide a means of describing complex ideas in a simple manner, such as is necessary when dealing with higher levels of management. Bayesian networks can be used to describe the detailed probabilities of something occurring, as is useful when working with engineers. The purpose of this paper is to show how the hybrid use of concept maps and Bayesian networks to outline the same information can be useful for providing threat information across organizational boundaries.
机译:对系统的威胁不断变化和发展。保护系统不受攻击的能力是一场持续不断的战斗。安全专家面临的最困难的责任之一是需要采取无形的威胁和复杂的安全信息,并以足够清晰的方式向利益相关者解释,以便做出决策。通常,利益相关者有多个级别,需要各种简短或有见地的知识才能对信息做出反应。首席执行官(CEO)需要简洁,首席安全工程师需要足够的信息才能进行技术折衷。贝叶斯网络和概念映射均基于模式。它们都希望基于模式关系提供对信息的洞察力。贝叶斯网络提供了一种方法来查看与事件发生相关的概率。概念图通过使用标签显示事件或对象中感知到的规律性。已显示概念图的使用提供了一种以简单方式描述复杂想法的方法,例如在处理更高级别的管理时所必需的。贝叶斯网络可用于描述某些事物发生的详细概率,这在与工程师合作时非常有用。本文的目的是说明如何将概念图和贝叶斯网络混合使用以勾勒出相同的信息,从而有助于跨组织边界提供威胁信息。

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