Dynamically Real-time Anomaly Detection Algorithm with Immune Negative Selection

Abstract

Network anomaly detection has become the promising aspect of intrusion detection. The existing anomaly detection models depict the detection profiles with a static way, which lack good adaptability and interoperability. Furthermore, the detection rate is low, so they are difficult to be deployed the realtime detection under the high-speed network… (More)

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Cite this paper

@inproceedings{Peng2013DynamicallyRA, title={Dynamically Real-time Anomaly Detection Algorithm with Immune Negative Selection}, author={Lingxi Peng and Wenbin Chen and Dongqing Xie and Ying Gao and ChunLin Liang}, year={2013} }