V-Detector-Based Immune Negative Intrusion Detection Algorithm

Abstract

Research the problem of intrusion detection in network security. For the defects that existing intrusion detection system can't recognize unknown attacks, to improve the detection efficiency and reduce false alarm rate, this paper basing on V-detector immunity negative intrusion detection algorithm, bring up an adaptive variable radius detector. In the training stage, randomly generate candidate detector with different detection threshold. In the testing stage, according to the size of hole and detection accuracy automatically adjust the radius of the detector. The experiment and the data of KDDCUP1999 show: under the circumstance of the same number of detector, compared with V-detector, this detector has higher coverage, less hole.