论文标题
基于云的科学和业务工作流程的安全和隐私问题：系统评价
Security and Privacy Concerns in Cloud-based Scientific and Business Workflows: A Systematic Review
论文作者
论文摘要
如今，数据密集型和计算密集型应用程序（如业务和科学工作流程）的数量已大大增加，这使得云计算在按需提供大量计算资源的过程中更受欢迎。另一方面，安全性是影响云技术广泛采用的关键问题，尤其是对于主要处理敏感数据和任务的工作流程。在本文中，我们对最新的审查进行了审查，介绍了如何解决云环境中科学和商业工作流程中的安全和隐私问题，并确定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，我们首先介绍了根据其针对的工作流程生命周期的阶段组织的最先进的安全解决方案的分类。根据我们的发现，我们对最相关的可用文献进行了详细的审查和分类，该文献重点介绍了工作流的执行，监视和适应阶段。最后，我们介绍了与基于云的工作流程的安全性有关的开放研究问题列表，并讨论它们。
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.
