量化云基础设施中的安全风险:数据驱动的方法

Sousan Tarahomi, Ralph Holz, A. Sperotto
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引用次数: 0

摘要

越来越多的企业将其ICT服务外包给云环境,主要是出于对成本、流程和安全性的考虑。然而,人们对云暴露以抵御网络安全攻击的担忧也在增加。这就带来了一个问题,云计算是否真的让我们更安全,或者它是否只是改变了我们面临的威胁类型。这个博士项目旨在通过关注云基础设施安全来解决这个问题。使用互联网测量,我们将采用数据驱动的方法来识别云基础设施中的漏洞和单点故障。根据我们的分析,我们将提出解决方案来缓解这些漏洞,并增强云环境的整体安全性。
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Quantifying Security Risks in Cloud Infrastructures: A Data-driven Approach
Businesses increasingly outsource their ICT services to cloud environments, mostly driven by considerations about costs, processes and security. However concerns around cloud exposure against cyber-security attacks are also growing. This bring about the question if the cloud really makes us more secure, or if it merely changes the type of threats we are exposed to. This PhD project aims at addressing this question by focusing on cloud infrastructure security. Using Internet measurements, we will take a data-driven approach to identify vulnerabilities and single points of failure in cloud infrastructure. Based on our analysis, we will propose solutions to mitigate these vulnerabilities and enhance the overall security of cloud environments.
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