论文标题
一个多层分层云间连接模型，用于访问BI作为服务的租户会话的连续数据包检查
A Multi-layer hierarchical inter-cloud connectivity model for sequential packet inspection of tenant sessions accessing BI as a service
论文作者
论文摘要
商业智能（BI）通过云计算获得了新的生命租赁，因为云弹性功能可实现其对无限硬件和平台资源的扩展性的需求。鉴于其多层模型与云多层模型一致，因此可以将BI无缝部署在云上。许多云服务提供商将其视为公共，外包私人和外包社区云的重要应用程序之一。但是，在云计算的共享域中，BI凭借利用，窃听，分布式攻击，恶意软件攻击以及云计算上的其他已知挑战，面临安全性和隐私威胁。鉴于BI和云计算的多层模型，需要通过多层控件来确保其对云计算的保护。在本文中，通过算法提出了BI的多层安全性和隐私模型作为云计算上的服务，以确保多层会话检查，并确保所有七层的最大安全控制，并防止发生攻击。这不仅会降低违反安全性的风险，而且还可以使组织有时间检测并应对攻击。这些模拟呈现出分布式攻击对BI系统的影响，而攻击者是真正的云租户。结果反映了攻击者如何通过用于保护BI服务器和数据库的多层安全性和隐私控件阻止
Business Intelligence (BI) has gained a new lease of life through Cloud computing as its demand for unlimited hardware and platform resources expandability is fulfilled by the Cloud elasticity features. BI can be seamlessly deployed on the Cloud given that its multilayered model coincides with the Cloud multilayer models. It is considered by many Cloud service providers as one of the prominent applications services on public, outsourced private and outsourced community Clouds. However, in the shared domains of Cloud computing, BI is exposed to security and privacy threats by virtue of exploits, eavesdropping, distributed attacks, malware attacks, and such other known challenges on Cloud computing. Given the multi-layered model of BI and Cloud computing, its protection on Cloud computing needs to be ensured through multilayered controls. In this paper, a multi-layered security and privacy model of BI as a service on Cloud computing is proposed through an algorithm for ensuring multi-level session inspections, and ensuring maximum security controls at all the seven layers, and prevent an attack from occurring. This will not only reduce the risk of security breaches, but allow an organisation time to detect, and respond to an attack. The simulations present the effects of distributed attacks on the BI systems by attackers posing as genuine Cloud tenants. The results reflect how the attackers are blocked by the multilayered security and privacy controls deployed for protecting the BI servers and databases
