基于云的科学和商业工作流中的安全和隐私问题：系统性综述
Security and Privacy Concerns in Cloud-based Scientific and Business Workflows: A Systematic Review
摘要：
如今，数据密集型和计算密集型应用程序（如商业和科学工作流）的数量急剧增加，这使得云计算在按需提供大量计算资源方面更加流行。另一方面，安全性是影响云技术广泛采用的关键问题，特别是对于主要处理敏感数据和任务的工作流。在本文中，我们对云环境中科学和业务工作流程中的安全和隐私问题如何得到解决的最新技术进行了审查，并确定了该领域当前知识体系的局限性和差距。在这篇广泛的文献综述中，我们首先根据工作流生存周期的各个阶段对最先进的安全解决方案进行了分类。根据我们的研究结果，我们提供了一个详细的审查和分类的最相关的现有文献，重点是执行，监控和适应阶段的工作流程。最后，我们提出了一系列与基于云的工作流的安全性相关的开放研究问题，并对其进行了讨论。
英文摘要：
Today, the number of data-intensive and compute-intensive applications like business and scientific workflows has dramatically increased, which made cloud computing more popular in the matter of delivering a large amount of computing resources on demand. On the other hand, security is a critical issue affecting the wide adoption of cloud technologies, especially for workflows that are mostly dealing with sensitive data and tasks. In this paper, we carry out a review of the state-of-the-art on how security and privacy concerns in scientific and business workflows in cloud environments are being addressed and identify the limitations and gaps in the current body of knowledge in this area. In this extensive literature review, we first present a classification of the state-of-the-art security solutions organized according to the phases of the workflow life cycle they target. Based on our findings, we provide a detailed review and classification of the most relevant available literature focusing on the execution, monitoring, and adaptation phases of workflows. Finally, we present a list of open research issues related to the security of cloud-based workflows and discuss them.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
