Title :
An Artificial Immune-based Feature Interaction Detection Method
Author :
Wei, Wei ; Yang, Fangchun
Author_Institution :
State Key Laboratory of Networking & Switching Technol., Beijing Univ. of Posts & Telecommun.
Abstract :
Based on analyzing the similarities of the feature interaction detection system and artificial immune system, an artificial immune-based feature interaction detection method is proposed to detect all kinds of feature interactions in the next generation network, which references the multi-layer protection of the immune system and some immune principles, including the immune recognition, co-stimulation, immune learning, clone selection and self tolerance. The simulation and research show that this method is capable of detecting all kinds of feature interactions neatly, enhancing the detection ratio and efficiency dynamically, and adapting to multi-network with high expansibility and universality
Keywords :
feature extraction; learning (artificial intelligence); telecommunication computing; telecommunication networks; artificial immune system; clone selection; costimulation; feature interaction detection method; immune learning; immune recognition; multilayer protection; next generation network; self tolerance; Artificial immune systems; Cloning; Computer vision; Immune system; Laboratories; Next generation networking; Packaging; Protection; Runtime; Telecommunication switching;
Conference_Titel :
Digital Telecommunications, , 2006. ICDT '06. International Conference on
Conference_Location :
Cote d´Azur
Print_ISBN :
0-7695-2650-0
DOI :
10.1109/ICDT.2006.16
