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A Design-Time Semi-Automatic Approach for Obfuscating a Business Process Model in a Trusted Multi-Cloud Deployment: A Design-Time Approach for BP Obfuscation

机译:一种在可信的多云部署中混淆业务流程模型的设计时半自动方法:一种用于BP混淆的设计时方法

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摘要

To enjoy the benefits of cloud computing, organizations managing complex business processes want to outsource their processes. However, as such processes express their know-how and because of the nature of the cloud, they are still reluctant to do so. To prevent such a know-how exposure, this article proposes a design-time approach for obfuscating a BP model by splitting its model into a collaboration of BP fragments semantically equivalent to the initial BP. This breaking down renders the discovery by cloud providers of-the-deep content of a critical fragment, and more of the whole process, much harder when these fragments are deployed in a multi-cloud context. While existing contributions on the topic of BP obfuscation remain at the level of principles, the authors propose an algorithm supporting automatically such a BP model transformation. The approach is validated against an obfuscation metric introduced in the article. The obtained results show that the authors' algorithm generates BP fragment with a high obfuscation level, contributing to protect BP know-how when deployed in a multi-cloud context.
机译:为了享受云计算的优势,管理复杂业务流程的组织希望将其流程外包。但是,由于这些过程表达了他们的专有技术,并且由于云的性质,他们仍然不愿意这样做。为防止这种专有技术暴露,本文提出了一种设计时方法,通过将BP模型分解为语义上等同于初始BP的BP片段协作来模糊BP模型。这种分解使云提供商发现了关键片段的深层内容,并且发现了整个过程的更多内容,而将这些片段部署在多云环境中则要困难得多。尽管有关BP模糊处理的现有意见仍停留在原理层面,但作者提出了一种算法,可自动支持此类BP模型转换。该方法已针对本文介绍的混淆指标进行了验证。所得结果表明,作者的算法生成的BP片段具有较高的混淆度,有助于在多云环境中部署BP专有技术。

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