Artificial immune strategies improve the security of data storage

Authors:
Lei Wang;Yinling Nie;Weike Nie;Licheng Jiao
Affiliations:
School of Computer Science and Engineering, Xi'an University of Technology, Xi'an, China;School of Computer Science and Engineering, Xi'an University of Technology, Xi'an, China;School of Electronic Engineering, Xidian University, Xi'an, China;School of Electronic Engineering, Xidian University, Xi'an, China
Venue:
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
Year:
2005

Citing 3
Cited 0

Learning and optimization using the clonal selection principle

IEEE Transactions on Evolutionary Computation
An immunity-based technique to characterize intrusions in computernetworks

IEEE Transactions on Evolutionary Computation
A formal framework for positive and negative detection schemes

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Quantified Score

Hi-index	0.00

Visualization

Abstract

A novel artificial immune strategies based data storage model, called AIS-DS, is proposed for dealing with the problem of resources sharing in a storage area network (SAN). Especially for the multi-user's tasks, this technology has some essential features for ensuring the security and privacy of information and/or data, because a SAN here can be regarded exclusive for each user with its own vaccines (a kind of special codes assigned for this user), and on the other hand, damage or interference to the disk or type to some extent in a local area of SAN, will not destroy the integrity of the saved data. Furthermore, with AIS-DS, the privacy of user's coded/decoded data is guaranteed even if the disk is physically handed by some other unwanted users.