Intrusion Detection Method Based on Two-layer Heterogeneous Ensemble Learner
An intrusion detection, double-layer heterogeneous technology, applied in the field of network security, can solve the problems of low false positive rate and false negative rate, affect the practicality, and high cost, and achieve the goal of reducing time consumption, reducing overall classification errors, and reducing data dimensions Effect
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[0027] In order to enable those skilled in the art to better understand the technical solutions in the embodiments of the present invention, and to make the purpose, features and advantages of the present invention more obvious and understandable, the technical core of the present invention will be further described in detail below in conjunction with the accompanying drawings . It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0028] This embodiment discloses an intrusion detection method based on a two-layer heterogeneous ensemble learner. The general idea of this method is to adopt a two-layer heterogeneous learner ensemble learning strategy based on probability weighted voting, while ensuring the accuracy of intrusion detection In this way, the false positive rate and false negative rate are reduced, and the time consumption is minimized. This method is divided into ...
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