Grid intrusion detection based on soft computing by modeling real-user's normal behaviors

Abstract

parameters; if the deviation is exceed a specific value, the intrusion may appear. Additionally, the proposed SCGIDS has the ability of self-learning. When the on-line real-user's normal behavior excursion is in an allowed extent, the parameters of the corresponding real-user's normal behavior description parameters are adjusted automatically. More… (More)
DOI: 10.1109/GRC.2006.1635864

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Cite this paper

@article{Zhang2006GridID, title={Grid intrusion detection based on soft computing by modeling real-user's normal behaviors}, author={Guiling Zhang and Jizhou Sun}, journal={2006 IEEE International Conference on Granular Computing}, year={2006}, pages={558-561} }