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Clustering goal-driven security factors for protecting data in cloud storage using Exploratory Factor Analysis (EFA): an empirical study

机译:使用探索性因子分析(EFa)对用于保护云存储中的数据的目标驱动的安全因素进行聚类:一项实证研究

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摘要

The purpose of this paper is to explore the important security factors for protecting data in cloud storagefrom the perspective of security practitioners. The study consist of 43 security variables (or indicator items)from a survey participated by security practitioners in Malaysia. Exploratory factor analysis (EFA) isconducted to understand the clusters of variables (or indicator items) and the inter-relationships constructingthe security factors (or components). Most of the respondents are from public sector organisations(government and higher education organisations) in Malaysia. The clusters of variables resulting from thisanalysis can be used as a reference for security practitioners planning to produce security policies to protectdata stored in a cloud storage. The top security factors identified from this study are shown in terms ofpolicy implementation and controls in confidentiality, integrity, availability, non-repudiation, authenticity,reliability, accountability and auditability of data services in cloud storage.
机译:本文的目的是从安全从业者的角度探讨保护云存储中数据的重要安全因素。该研究由马来西亚安全从业人员参加的一项调查中的43个安全变量(或指标项)组成。进行探索性因素分析(EFA)来了解变量(或指标项)的群集以及构成安全因素(或组件)的相互关系。大多数受访者来自马来西亚的公共部门组织(政府和高等教育组织)。从该分析得出的变量集群可以用作安全从业人员计划制定安全策略以保护存储在云存储中的数据的参考。这项研究确定的最重要的安全因素以策略实施和对云存储中数据服务的机密性,完整性,可用性,不可否认性,真实性,可靠性,问责制和可审计性的控制来表示。

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