An Improved Negative Selection Algorithm Based on Subspace Density Seeking

An Improved Negative Selection Algorithm Based on Subspace Density Seeking

Negative selection algorithm (NSA) is an important method for generating detectors in artificial immune systems. Traditional NSAs randomly generate detectors in the whole feature space. However, with increasing dimensions, data samples aggregate in some specific subspaces, not uniformly distributed...

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Bibliographic Details
Main Authors: Zhengjun Liu, Tao Li, Jin Yang, Tao Yang
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Negative selection algorithm
subspace density seeking
artificial immune system
anomaly detection
detector generation
Online Access:https://ieeexplore.ieee.org/document/7968422/

Internet

https://ieeexplore.ieee.org/document/7968422/

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