知识就是力量:隐私知识的系统重用用于威胁引出

Kim Wuyts, Laurens Sion, D. Landuyt, W. Joosen
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引用次数: 5

摘要

隐私威胁建模是困难的。识别导致隐私损害的相关威胁需要对正在分析的系统中所有元素的常见潜在隐私问题进行广泛的评估。在实践中,因此威胁建模练习的结果在很大程度上取决于分析人员的经验水平和专业知识。然而,在可重用的威胁知识库(即常见威胁类型的清单)中捕获(至少部分)这种隐私专业知识,例如LINDDUN和STRIDE的威胁树,可以极大地提高威胁提取过程的效率和已识别威胁的整体质量。在本文中,我们强调了当前知识库的问题,如有限的语义和缺乏实例化逻辑,并讨论了对简化威胁引出工作的隐私威胁知识库的需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Knowledge is Power: Systematic Reuse of Privacy Knowledge for Threat Elicitation
Privacy threat modeling is difficult. Identifying relevant threats that cause privacy harm requires an extensive assessment of common potential privacy issues for all elements in the system-under-analysis. In practice, the outcome of a threat modeling exercise thus strongly depends on the level of experience and expertise of the analyst. However, capturing (at least part of) this privacy expertise in a reusable threat knowledge base (i.e. an inventory of common threat types), such as LINDDUN's and STRIDE's threat trees, can greatly improve the efficiency of the threat elicitation process and the overall quality of identified threats. In this paper, we highlight the problems of current knowledge bases, such as limited semantics and lack of instantiation logic, and discuss the requirements for a privacy threat knowledge base that streamlines threat elicitation efforts.
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