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Taxonomy Analysis of Cloud Computing Vulnerabilities through Attack Vector, CVSS and Complexity Parameter

机译:通过攻击向量,CVS和复杂性参数分类和分析云计算漏洞

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The world is witnessing an exceptional expansion in the cloud enabled services which is further growing day by day due to advancement & requirement of technology. However, the identification of vulnerabilities & its exploitation in the cloud computing will always be the major challenge and concern for any cloud computing system. To understand the challenges and its consequences and further provide mitigation techniques for the vulnerabilities, the identification of cloud specific vulnerabilities needs to be examined first and after identification of vulnerabilities a detailed taxonomy must be positioned. In this paper several cloud specific identified vulnerabilities have been studied which is listed by the NVD, ENISA CSA etc accordingly a unified taxonomy for security vulnerabilities has been prepared. In this paper we proposed a comprehensive taxonomy for cloud specific vulnerabilities on the basis of several parameters like attack vector, CVSS score, complexity etc which will be further act as input for the analysis and mitigation of cloud vulnerabilities. Scheming of Taxonomy of vulnerabilities is an effective way for cloud administrators, cloud mangers, cloud consumers and other stakeholders for identifying, understanding and addressing security risks.
机译:世界上目睹了云的卓越的扩张,这是由于技术的进步和要求进一步发展。但是,云层计算中漏洞的识别将始终是任何云计算系统的主要挑战和关注。要了解挑战及其后果,并进一步为漏洞提供缓解技术,需要先检测云特异性漏洞的识别,并在漏洞识别漏洞后必须定位详细分类。在本文中,已经研究了几个云特定的识别漏洞,该漏洞由NVD,ENISA CSA等,因此已经准备了安全漏洞的统一分类。在本文中,我们提出了云特定漏洞的全面分类,如攻击载体,CVSS得分,复杂性等的几个参数,这将进一步充当分析和减轻云漏洞的输入。漏洞的分类规范是云管理员,云管理员,云消费者和其他利益相关者来识别,理解和解决安全风险的有效方法。

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