Staff View: A dynamic classification index to enhance data protection procedures in cloud-based environments

A dynamic classification index to enhance data protection procedures in cloud-based environments

Security is one of the most challenging issues in cloud-based environments and the most important obstacle for advancement of IT-based on-demand services. Classification of data based on attributes is a challenging issues that can improve the rate of reliability and efficiency in cloud computing env...

Full description

Saved in:

Bibliographic Details
Main Authors:	Moghaddam, F. F., Majd, A., Ahmadi, M., Khodadadi, T., Madadipouya, K.
Format:	Conference or Workshop Item
Published:	Institute of Electrical and Electronics Engineers Inc. 2016
Subjects:	T Technology (General)
Online Access:	http://eprints.utm.my/id/eprint/73388/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964555299&doi=10.1109%2fICSGRC.2015.7412457&partnerID=40&md5=36cf528b7977b319f395772c0474e665
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my.utm.73388
record_format	eprints
spelling	my.utm.733882017-11-21T08:17:10Z http://eprints.utm.my/id/eprint/73388/ A dynamic classification index to enhance data protection procedures in cloud-based environments Moghaddam, F. F. Majd, A. Ahmadi, M. Khodadadi, T. Madadipouya, K. T Technology (General) Security is one of the most challenging issues in cloud-based environments and the most important obstacle for advancement of IT-based on-demand services. Classification of data based on attributes is a challenging issues that can improve the rate of reliability and efficiency in cloud computing environments as an emerging technology. Accordingly, a dynamic index classification model has been presented in this paper to ensure data security in cloud computing environments based on their attributes. Index Classification (IC) value has been defined based on three parameters (i.e. data confidentiality, data integrity, and data availability) and various sub-parameters to classify data into 4 main groups. The evaluation procedure of the suggested model involves two main parameters: functionality, and security. Each parameter was examined by simulation processes to investigate strengths and weaknesses of this model in comparison with current models. In overall, the results show that this model has met defined demands of this research to enhance the reliability and efficiency of data protection in cloud computing environments. Institute of Electrical and Electronics Engineers Inc. 2016 Conference or Workshop Item PeerReviewed Moghaddam, F. F. and Majd, A. and Ahmadi, M. and Khodadadi, T. and Madadipouya, K. (2016) A dynamic classification index to enhance data protection procedures in cloud-based environments. In: 6th IEEE Control and System Graduate Research Colloquium, ICSGRC 2015, 10-11 Aug 2015, Selangor, Malaysia. https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964555299&doi=10.1109%2fICSGRC.2015.7412457&partnerID=40&md5=36cf528b7977b319f395772c0474e665
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
topic	T Technology (General)
spellingShingle	T Technology (General) Moghaddam, F. F. Majd, A. Ahmadi, M. Khodadadi, T. Madadipouya, K. A dynamic classification index to enhance data protection procedures in cloud-based environments
description	Security is one of the most challenging issues in cloud-based environments and the most important obstacle for advancement of IT-based on-demand services. Classification of data based on attributes is a challenging issues that can improve the rate of reliability and efficiency in cloud computing environments as an emerging technology. Accordingly, a dynamic index classification model has been presented in this paper to ensure data security in cloud computing environments based on their attributes. Index Classification (IC) value has been defined based on three parameters (i.e. data confidentiality, data integrity, and data availability) and various sub-parameters to classify data into 4 main groups. The evaluation procedure of the suggested model involves two main parameters: functionality, and security. Each parameter was examined by simulation processes to investigate strengths and weaknesses of this model in comparison with current models. In overall, the results show that this model has met defined demands of this research to enhance the reliability and efficiency of data protection in cloud computing environments.
format	Conference or Workshop Item
author	Moghaddam, F. F. Majd, A. Ahmadi, M. Khodadadi, T. Madadipouya, K.
author_facet	Moghaddam, F. F. Majd, A. Ahmadi, M. Khodadadi, T. Madadipouya, K.
author_sort	Moghaddam, F. F.
title	A dynamic classification index to enhance data protection procedures in cloud-based environments
title_short	A dynamic classification index to enhance data protection procedures in cloud-based environments
title_full	A dynamic classification index to enhance data protection procedures in cloud-based environments
title_fullStr	A dynamic classification index to enhance data protection procedures in cloud-based environments
title_full_unstemmed	A dynamic classification index to enhance data protection procedures in cloud-based environments
title_sort	dynamic classification index to enhance data protection procedures in cloud-based environments
publisher	Institute of Electrical and Electronics Engineers Inc.
publishDate	2016
url	http://eprints.utm.my/id/eprint/73388/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964555299&doi=10.1109%2fICSGRC.2015.7412457&partnerID=40&md5=36cf528b7977b319f395772c0474e665
_version_	1643656649219506176
score	13.211869

A dynamic classification index to enhance data protection procedures in cloud-based environments

Similar Items