WANG Tianbo, ZHANG Fengbin, XIA Chunhe, “Research on Loophole with Second Distribution of Real Value Detectors,” Chinese Journal of Electronics, vol. 25, no. 6, pp. 1141-1150, 2016, doi: 10.1049/cje.2016.08.004
Citation: WANG Tianbo, ZHANG Fengbin, XIA Chunhe, “Research on Loophole with Second Distribution of Real Value Detectors,” Chinese Journal of Electronics, vol. 25, no. 6, pp. 1141-1150, 2016, doi: 10.1049/cje.2016.08.004

Research on Loophole with Second Distribution of Real Value Detectors

doi: 10.1049/cje.2016.08.004
Funds:  This work is supported by the National Natural Science Foundation of China (No.61172168, No.61170295), the Project of National Ministries Foundation of China (No.A2120110006), the Co-Funding Project of Beijing Municipal Education Commission (No.JD100060630), and the Research Project of Aviation Industry of China (No.CXY2011BH07).
  • Received Date: 2014-10-10
  • Rev Recd Date: 2014-12-01
  • Publish Date: 2016-11-10
  • Traditional anomaly detection algorithm has improved to some degree the mechanism of negative selection. There still remain many problems such as the randomness of detector generation, incompleteness of self-set and the generalization ability of detectors, which would cause a lot of loopholes in non-self space. A heuristic algorithm based on the second distribution of real value detectors for the remains of loopholes of the non-self space in the first distribution and the mutation regions of self space is proposed. The algorithm can distribute real value detectors through omission data based on the methods of partition and movement. A method is proposed to solve the problem on how to get the optimal solutions to the parameters related in the algorithm. Theoretical analysis and experimental results prove the universality and effectiveness of the method. It is found that our algorithm can effectively avoid the generation of loopholes and thus reduce the omission rate of detector sets.
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