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

Clustering goal-driven security factors for protecting data in cloud storage using Exploratory Factor Analysis (EFA): an empirical study
Clustering goal-driven security factors for protecting data in cloud storage using Exploratory Factor Analysis (EFA): an empirical study
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.
475
INSTICC
Yahya, Fara
7156d4da-eb5e-4493-9a11-85e9014ff6da
Walters, Robert J
7b8732fb-3083-4f4d-844e-85a29daaa2c1
Wills, Gary B
3a594558-6921-4e82-8098-38cd8d4e8aa0
Yahya, Fara
7156d4da-eb5e-4493-9a11-85e9014ff6da
Walters, Robert J
7b8732fb-3083-4f4d-844e-85a29daaa2c1
Wills, Gary B
3a594558-6921-4e82-8098-38cd8d4e8aa0

Yahya, Fara, Walters, Robert J and Wills, Gary B (2017) Clustering goal-driven security factors for protecting data in cloud storage using Exploratory Factor Analysis (EFA): an empirical study. In Proceedings of the 7th International Conference on Cloud Computing and Services Science. vol. 1 - CLOSER, INSTICC. p. 475 . (doi:10.5220/0006302304750482).

Record type: Conference or Workshop Item (Paper)

Abstract

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.

Text
Clustering Goal-Driven Security Factors for Protecting Data in Cloud Storage using Exploratory Factor Analaysis (EFA) An Empirical Study - Accepted Manuscript
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Accepted/In Press date: 24 April 2017
e-pub ahead of print date: 1 June 2017

Identifiers

Local EPrints ID: 412342
URI: http://eprints.soton.ac.uk/id/eprint/412342
PURE UUID: 6debea39-e404-4ee8-9cac-b50e7c20b306
ORCID for Gary B Wills: ORCID iD orcid.org/0000-0001-5771-4088

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Date deposited: 17 Jul 2017 13:30
Last modified: 18 Feb 2021 16:46

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Contributors

Author: Fara Yahya
Author: Robert J Walters
Author: Gary B Wills ORCID iD

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