Genetic algorithm optimization based polymorphic detector generating method
A genetic algorithm and spherical detector technology, applied in the field of artificial intelligence immune classification technology and data-based anomaly detection, can solve the problems of uncontrolled detector coverage, low detector accuracy and efficiency, and improve the average coverage. , Improve the detection accuracy and detection efficiency, reduce the effect of time cost
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[0032] Such as image 3 , the present invention is a method for generating polymorphic detectors based on genetic algorithm optimization, and the specific steps of the method are as follows:
[0033] Step 1: Divide the normalized search space layer by layer, and set the division fineness, and enter the next step when the division accuracy is reached;
[0034] Step 2: Matching the divided super-rectangular area with the training samples, if the super-rectangular area does not match the training samples, use it as a mature super-rectangular detector;
[0035] Step 3: Apply the genetic evolution mechanism to optimize the traditional negative selection algorithm to generate optimal spherical detectors one by one;
[0036] Step 4: Use the super-rectangular detector and the optimal spherical detector as a mature detector set to complete detector generation.
[0037] In the first step, the normalized search space is divided using the (0,0) point of the normalized space as the origi...
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