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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:使用探索因子分析(EFA)保护云存储中数据的群集目标驱动的安全因子:实证研究

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The purpose of this paper is to explore the important security factors for protecting data in cloud storage from 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) is conducted to understand the clusters of variables (or indicator items) and the inter-relationships constructing the 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 this analysis can be used as a reference for security practitioners planning to produce security policies to protect data stored in a cloud storage. The top security factors identified from this study are shown in terms of policy implementation and controls in confidentiality, integrity, availability, non-repudiation, authenticity, reliability, accountability and auditability of data services in cloud storage.
机译:本文的目的是探讨从安全从业者的角度保护云存储中数据的重要安全因素。该研究包括来自马来西亚的安全从业者参加的调查的43个安全变量(或指标项目)。进行探索性因子分析(EFA)以了解变量(或指示物品)的集群以及构建安全因子(或组件)的关系。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)。由该分析产生的变量集群可以用作安全从业者计划生产安全策略以保护存储在云存储中的数据的引用。本研究中识别的最高安全因素在云存储中的机密性,完整性,可用性,非拒绝,真实性,可靠性,责任,云存储中的数据服务中的真实性,可靠性,责任和可审计方面显示。

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