DocumentCode :
690527
Title :
Hybrid Multi-cloud Data Security (HMCDS) Model and Data Classification
Author :
Zardari, Munwar Ali ; Low Tang Jung ; Zakaria, Muhamed Nording B.
Author_Institution :
CIS Dept., Univ. Teknolo gi PETRONAS, Tronoh, Malaysia
fYear :
2013
fDate :
23-24 Dec. 2013
Firstpage :
166
Lastpage :
171
Abstract :
Cloud computing is one of the most exciting paradigm shifts in distributed computing. Cloud computing is being widely used due to its readily available services at low cost. When the number of cloud users increase this may subsequently lead to data security and privacy threats. Data confidentiality and efficient data retrieval are major issues which block users to adopt cloud computing. The focus of this paper is data confidentiality and efficient data retrieval issues in cloud computing. The data classification and cloud model are proposed to overcome data confidentiality and efficient data retrieval issues. In this paper we propose a new cloud model, i.e., the Hybrid Multi-Cloud Data Security (HMCDS) model with data classification. The model is based on multi-cloud, different clusters and data classification. Two levels of security are considered, i.e., model and data classification based levels.
Keywords :
cloud computing; data privacy; information retrieval; pattern classification; security of data; HMCDS model; cloud computing; data classification; data confidentiality; data privacy; data retrieval; data security; distributed computing; hybrid multicloud data security; Computer science; Cloud Computing; Data Classification; Data Security; Hybrid Multi-cloud; Multi-Cloud;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computer Science Applications and Technologies (ACSAT), 2013 International Conference on
Conference_Location :
Kuching
Type :
conf
DOI :
10.1109/ACSAT.2013.40
Filename :
6836569
Link To Document :
بازگشت