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A Survey on Self-Adaptive Security for Large-scale Open Environments

机译:大规模开放环境的自适应安全性研究

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Contemporary software systems operate in heterogeneous, dynamic, and distributed environments, where security needs change at runtime. The security solutions for such systems need to be adaptive for the continuous satisfaction of the software systems' security goals. Whilst the existing research on self-adaptive security has made notable advancement towards designing and engineering self-adaptive security solutions, there exists little work on the taxonomic analysis of the architectures of the reported research and its applicability for open and ultra-large environments. We propose an architecture-centric taxonomy for mapping and comparing the current research and identifying the future research directions in this field. The proposed taxonomy has been used to review the representative work on the architectural characteristics that self-adaptive security systems must maintain for their effective application in large-scale open environments. We reflect on the findings from the taxonomic analysis and discuss the design principles, research challenges and limitations reported in the state of the art and practice. We outline the directions for the future research on architectural level support for self-adaptive security systems for large-scale open environments.
机译:当代的软件系统在异构,动态和分布式环境中运行,在这些环境中,安全性需要在运行时发生变化。此类系统的安全解决方案需要适应性要求,以不断满足软件系统的安全目标。尽管现有的自适应安全性研究在设计和工程自适应安全性解决方案方面取得了显着进步,但对所报告的研究体系结构的分类学分析及其在开放和超大型环境中的适用性的研究很少。我们提出了一种以架构为中心的分类法,用于映射和比较当前研究并确定该领域的未来研究方向。拟议的分类法已被用于审查关于自适应安全系统在大规模开放环境中有效应用所必须维护的体系结构特征的代表性工作。我们对分类学分析的发现进行反思,并讨论设计原则,研究挑战和现有技术和实践中报道的局限性。我们概述了未来在大规模开放环境中对自适应安全系统的体系结构级别支持的研究方向。

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