实现无服务器计算的安全量化

Kan Ni, Subrota Kumar Mondal, H M Dipu Kabir, Tian Tan, Hong-Ning Dai
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引用次数: 0

摘要

无服务器计算是近期云计算领域引人注目的范例之一。无服务器计算可以不受底层服务器架构的限制,快速运行用户应用程序和服务。尽管已有多个商用和开源无服务器平台,但仍有一些开放性问题和挑战需要解决。无服务器计算平台的关键问题之一是安全性。因此,在本文中,我们提出了无服务器计算的多层抽象模型,以进行安全调查。我们对每一层的安全风险进行了定量分析。我们发现,攻击树和攻击防御树方法在这方面是可行的。因此,我们利用攻击树和攻击防御树来量化无服务器计算的安全风险和对策。我们还提出了一种名为 "相对风险矩阵"(RRM)的新方法来量化攻击成功的概率。包括应用开发人员、研究人员和云提供商在内的利益相关者可以应用这些发现和影响,更好地理解和进一步增强无服务器计算的安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Toward security quantification of serverless computing
Serverless computing is one of the recent compelling paradigms in cloud computing. Serverless computing can quickly run user applications and services regardless of the underlying server architecture. Despite the availability of several commercial and open-source serverless platforms, there are still some open issues and challenges to address. One of the key concerns in serverless computing platforms is security. Therefore, in this paper, we present a multi-layer abstract model of serverless computing for an security investigation. We conduct a quantitative analysis of security risks for each layer. We observe that the Attack Tree and Attack-Defense Tree methodologies are viable approaches in this regard. Consequently, we make use of the Attack Tree and the Attack-Defense Tree to quantify the security risks and countermeasures of serverless computing. We also propose a novel measure called the Relative Risk Matrix (RRM) to quantify the probability of attack success. Stakeholders including application developers, researchers, and cloud providers can potentially apply these findings and implications to better understand and further enhance the security of serverless computing.
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