Zardari, M.A. and Jung, L.T. and Zakaria, M.N.B. (2013) Hybrid multi-cloud data security (HMCDS) model and data classification. In: UNSPECIFIED.
Full text not available from this repository.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. © 2013 IEEE.
Item Type: | Conference or Workshop Item (UNSPECIFIED) |
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Additional Information: | cited By 12; Conference of 2nd International Conference on Advanced Computer Science Applications and Technologies, ACSAT 2013 ; Conference Date: 23 December 2013 Through 24 December 2013; Conference Code:106250 |
Uncontrolled Keywords: | Cloud computing; Security of data, Block users; Cloud modeling; Data classification; Data confidentiality; Data retrieval; Data security and privacy; Multi-clouds; Paradigm shifts, Classification (of information) |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 09 Nov 2023 15:52 |
Last Modified: | 09 Nov 2023 15:52 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/3814 |