CloudMonitor:数据流过滤即服务

F. Alqahtani, Frederick T. Sheldon
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引用次数: 1

摘要

使用云服务的组织主要关心的是他们对数据的控制类型。法律要求公司监控对其业务和客户都至关重要的数据子集。相反,云服务提供商没有表现出对安全处理企业数据的承诺,这可能会使敏感数据处于危险之中。因此,消费者需要在本地基础设施和云中保持对其敏感数据的控制。为了实现这一目标,公司正在实践通常会阻止访问在网络级别存储敏感数据的云服务的方法。然而,这样的限制可能会限制员工的绩效,同时可能无法打击不良员工的恶意活动。在本文中,我们提出了一个模型,该模型允许消费者和提供者透明地跟踪云环境中的数据。该模型允许消费者控制自己的数据,并对第三方服务对其数据的处理进行审计,同时允许员工使用云服务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CloudMonitor: Data Flow Filtering as a Service
The primary concern of cloud service consuming organizations is the kind of control that they may have over their data. Companies are legally required to monitor a subset of the data that is crucial both to their business and customers. Conversely, the cloud service providers are not showing commitment towards securely handling enterprise data, and this may put sensitive data at risk. Hence, consumers are expected to maintain control over their sensitive data both at their local infrastructure and in the cloud. To achieve this, companies are practicing methods that would typically block access to cloud service that stores sensitive data at the network level. However, such restrictions may limit employee performance, and at the same time may not combat the malicious activities of bad employees. In this paper, we propose a model that allows consumers and providers the ability to transparently track the data in the cloud environment. The model allows consumers to have control over their data and conduct an audit to the treatment of their data by third-party services, while employees are allowed to use the cloud service.
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