使用安全和领域本体进行安全需求分析

Amina Souag, C. Salinesi, I. Comyn-Wattiau, H. Mouratidis
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引用次数: 28

摘要

最近的研究讨论了在需求工程(RE)阶段考虑安全性的重要性。文献还强调了使用本体论促进需求提取的重要性。众所周知,本体是丰富的知识来源,并且,通过结构化和配备推理功能,它们形成了处理需求的强大工具。我们认为安全是一个多方面的问题,单一的安全本体不足以有效地指导安全工程(SRE)。事实上,安全本体只关注安全的技术和领域无关的方面。因此,可以假设也需要领域知识。我们的问题是“如何结合安全本体论和领域本体论的使用,以高效和有效地指导需求提取?”我们提出了一种方法,通过一组启发式产生规则动态地利用这两种类型的本体。我们证明,结合使用安全本体和领域本体来指导SR激发比仅仅依赖安全本体更有效。本文介绍了我们的方法,并报告了通过专家批判性分析进行的初步评估。评估表明,该方法在本体的通用性(不需要提前选择)和引出的需求的特殊性之间提供了很好的平衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using Security and Domain Ontologies for Security Requirements Analysis
Recent research has argued about the importance of considering security during Requirements Engineering (RE) stage. Literature also emphasizes the importance of using ontologies to facilitate requirements elicitation. Ontologies are known to be rich sources of knowledge, and, being structured and equipped with reasoning features, they form a powerful tool to handle requirements. We believe that security being a multi-faceted problem, a single security ontology is not enough to guide SR Engineering (SRE) efficiently. Indeed, security ontologies only focus on technical and domain independent aspects of security. Therefore, one can hypothesize that domain knowledge is needed too. Our question is "how to combine the use of security ontologies and domain ontologies to guide requirements elicitation efficiently and effectively?" We propose a method that exploits both types of ontologies dynamically through a collection of heuristic production rules. We demonstrate that the combined use of security ontologies with domain ontologies to guide SR elicitation is more effective than just relying on security ontologies. This paper presents our method and reports a preliminary evaluation conducted through critical analysis by experts. The evaluation shows that the method provides a good balance between the genericity with respect to the ontologies (which do not need to be selected in advance), and the specificity of the elicited requirements with respect to the domain at hand.
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