Research on the Tracking Algorithm of Program Level Fine-grained Data based on Cloud Virtual Environment

DOI

10.2991/ameii-15.2015.195How to use a DOI?

Keywords

DIFC model; fine-grained information flows; cloud computing

Abstract

The virtual machine in the fine-grained information flow tracking is the basis for realization of transparent cloud platform program level control. The information flow control access to sensitive information in the process, because the authority transfer security level and cannot read or write the non sensitive data, the coarse granularity information flow control is difficult to meet the actual demand of diversification, this paper proposes extended DIFC (Distributed Information Flow Control) model, this model avoids component of cloud platform virtual machine because of the higher level of security sensitive data through reading, it sends or modifies the defects of non sensitive data by transfering the authority, and effectively overcomes the defect that the existing information flow control method for the coarse granularity, and the shortcomings which unable to meet the actual demand, this model guarantees the tracking and control of fine-grained information flow within the virtual machine application, and it does not affect the original cloud service operation.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhigang Zhang
AU  - Wei Zhang
AU  - Juncheng Geng
AU  - Hongyi Zhang
PY  - 2015/04
DA  - 2015/04
TI  - Research on the Tracking Algorithm of Program Level Fine-grained Data based on Cloud Virtual Environment
BT  - Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics
PB  - Atlantis Press
SP  - 1059
EP  - 1065
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-15.2015.195
DO  - 10.2991/ameii-15.2015.195
ID  - Zhang2015/04
ER  -