Paper
30 April 2010 A prioritization scheme of detector in intrusion detection model based on GA
Pei-li Qiao, Shuo Yuan, Jie Su
Author Affiliations +
Abstract
To speed algorithm convergence and avoid early-maturing, the theory of Uniform Design Sampling (UDS) is used to redesign the crossover operation of Genetic Algorithm and to improve the similarity of cyber-chromosome which is correlated with Detector Redundancy. A new detector prioritization scheme is built on the basis of the combination of partial searching strategy and a new method to evaluate the data of redundancy. Simulation experiment demonstrates that this scheme maintains the variety, efficiency and sufficiency of the detector. Our scheme has a better performance in searching velocity, global optimal ability. Detection rate is increased and false alarm rate is decreased to a certain degree.
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Pei-li Qiao, Shuo Yuan, and Jie Su "A prioritization scheme of detector in intrusion detection model based on GA", Proc. SPIE 7705, Modeling and Simulation for Defense Systems and Applications V, 77050Q (30 April 2010); https://doi.org/10.1117/12.849374
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KEYWORDS
Sensors

Computer intrusion detection

Genetic algorithms

Genetics

Databases

Detection and tracking algorithms

Data modeling

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