Security framework for networked storage system based on artificial immune system

Jianzhong Huang; Changsheng Xie; Chengfeng Zhang; Ling Zhan

doi:10.1117/12.741698

14 November 2007 Security framework for networked storage system based on artificial immune system

Jianzhong Huang, Changsheng Xie, Chengfeng Zhang, Ling Zhan

Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 67903Q (2007) https://doi.org/10.1117/12.741698
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

This paper proposed a theoretical framework for the networked storage system addressing the storage security. The immune system is an adaptive learning system, which can recognize, classify and eliminate 'non-self' such as foreign pathogens. Thus, we introduced the artificial immune technique to the storage security research, and proposed a full theoretical framework for storage security system. Under this framework, it is possible to carry out the quantitative evaluation for the storage security system using modeling language of artificial immune system (AIS), and the evaluation can offer security consideration for the deployment of networked storage system. Meanwhile, it is potential to obtain the active defense technique suitable for networked storage system via exploring the principle of AIS and achieve a highly secure storage system with immune characteristic.

Citation Download Citation

Jianzhong Huang, Changsheng Xie, Chengfeng Zhang, and Ling Zhan "Security framework for networked storage system based on artificial immune system", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67903Q (14 November 2007); https://doi.org/10.1117/12.741698

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