Artificial immune system based on normal model and immune learning

@article{Gong2008ArtificialIS,
  title={Artificial immune system based on normal model and immune learning},
  author={Tao Gong},
  journal={2008 IEEE International Conference on Systems, Man and Cybernetics},
  year={2008},
  pages={1320-1325}
}
Inspired form natural immune system, a new artificial immune system was proposed to detect, recognize and eliminate the non-selfs such as computer worms and software faults. Because unknown non-selfs are very difficult to detect only by recognizing the features of the non-selfs, a normal model was built to provide an easy and effective tool for completely detecting the unknown non-selfs by detecting the known selfs. The probability for detecting unknown non-selfs with traditional approaches… CONTINUE READING

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References

Publications referenced by this paper.
Showing 1-10 of 25 references

Research on Modeling and Robustness Analysis of Immune Computation

J. J. Jin, J. A. Maxwell
2007

An Immune Agent for Web-based AI Course

T. Gong, Z. X. Cai, +15 authors 51 187–201. T. Gong
International Journal on E-Learning, 2006, vol. 5, no. 4, pp. 493–506. • 2006
View 1 Excerpt

Immune modelling and programming of a mobile root demo

J. F. Traub, A. G. Werschulz, +4 authors H. G. He
J. Cent. South Univ. Technol., 2006,13(6):694-698. • 2006
View 1 Excerpt

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