Re-editing and Censoring of Detectors in Negative Selection Algorithm

References

• Goldsby , G. A. , Kindt , T. J. , Kuby , J. and Osborne , B. A. 2003 . Immunology , 5th ed. , New York , NY : W. H. Freeman and Company .
   Google Scholar
• de Castro , L. N. and Timmis , J. 2002 . Artificial Immune Systems: A New Computational Intelligence Approach , London , , UK : Springer-Verlag .
   Google Scholar
• Dasgupta , D. 2006 . Advances in artificial immune systems . IEEE Computational Intelligence Magazine , 1 ( 4 ) November : 40 – 49 .
   Web of Science ®Google Scholar
• Forrest , S. , Perelson , A. S. , Allen , L. and Cherukuri , R. 1994 . Self-nonself discrimination in a computer . Proceedings of the IEEE Symposium on Research in Security and Privacy . May 1994 , Los Alamos , CA . pp. 202 – 212 .
   Google Scholar
• Dasgupta , D. and González , F. 2002 . An immunity-based technique to characterize intrusions in computer networks . IEEE Transactions on Evolutionary Computation , 6 ( 3 ) June : 281 – 291 .
   Web of Science ®Google Scholar
• Dasgupta , D. and Forrest , S. 1995 . Tool breakage detection in milling operations using a negative selection algorithm , Albuquerque , NM : Department of Computer Science, University of New Mexico . Technical Report CS95-5
   Google Scholar
• Esponda , F. , Forrest , S. and Helman , P. 2004 . A formal framework for positive and negative detection schemes . IEEE Transactions on Systems, Man, and Cybernetics Part B: Cybernetics , 34 ( 1 ) : 357 – 373 .
   PubMed Web of Science ®Google Scholar
• Stibor , T. , Mohr , P. , Timmis , J. and Eckert , C. 2005 . Is negative selection appropriate for anomaly detection? . Proceedings of the 2005 Conference on Genetic and Evolutionary Computation . June 2005 , Washington , DC . pp. 321 – 328 .
   Google Scholar
• Ji , Z. and Dasgupta , D. 2004 . Real-valued negative selection algorithm with variable-sized detectors . Proceedings of the 2004 Conference on Genetic and Evolutionary Computation . June 2004 , Seattle , WA . pp. 287 – 298 .
   Google Scholar
• Stibor , T. , Timmis , J. and Eckert , C. 2005 . A comparative study of real-valued negative selection to statistical anomaly detection techniques . Proceedings of the International Conference on Artificial Immune Systems . August 2005 , Banff, AL , Canada. pp. 262 – 275 .
   Google Scholar
• Percus , J. K. , Percus , O. E. and Perelson , A. S. Predicting the size of the T-cell receptor and antibody combining region from consideration of efficient self-nonself discrimination . Proceedings of National Academy of Sciences USA . vol. 90 , pp. 1691 – 1695 .
   Google Scholar
• González , F. , Dasgupta , D. and Gomez , G. 2003 . The effect of binary matching rules in negative selection . Proceedings of the 2003 Conference on Genetic and Evolutionary Computation . July 2003 , Chicago , IL . pp. 195 – 206 .
   Google Scholar
• Stibor , T. , Timmis , J. and Eckert , C. 2006 . The link between r-contiguous detectors and k-CNF satisfiability . Proceedings of the IEEE Congress on Evolutionary Computation . July 2006 , Vancouver, BC , Canada. pp. 491 – 498 .
   Google Scholar
• Ji , Z. and Dasgupta , D. 2007 . Revisiting negative selection algorithms . Evolutionary Computation , 15 ( 2 ) : 223 – 251 .
   PubMed Web of Science ®Google Scholar
• Gao , X. Z. , Ovaska , S. J. , Wang , X. and Chow , M.-Y. 2008 . A neural networks-based negative selection algorithm in fault diagnosis . Neural Computing & Applications , 17 ( 1 ) January : 91 – 98 .
   Web of Science ®Google Scholar
• Gao , X. Z. , Ovaska , S. J. and Wang , X. 2008 . A GA-based negative selection algorithm . International Journal of Innovative Computing, Information and Control , 4 ( 4 ) April : 971 – 979 .
   Web of Science ®Google Scholar
• Gao , X. Z. , Ovaska , S. J. and Wang , X. 2007 . Particle swarm optimization of detectors in negative selection algorithm . Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics . October 2007 , Montreal, Quebec , Canada. pp. 1236 – 1242 .
   Google Scholar
• González , F. , Dasgupta , D. and Nino , L. F. 2003 . A randomized real-value negative selection algorithm . Proceedings of the International Conference on Artificial Immune Systems . September 2003 , Edinburgh , UK. pp. 261 – 272 .
   Google Scholar
• Storn , R. and Price , K. 1997 . Differential evolution: A simple and efficient adaptive scheme for global optimization over continuous spaces . Journal of Global Optimization , 11 ( 4 ) December : 341 – 359 .
   Web of Science ®Google Scholar
• Poli , R. and Langdon , W. B. 2002 . Foundations of Genetic Programming , Berlin , , Germany : Springer-Verlag .
   Google Scholar
• Ji , Z. 2006 . Negative Selection Algorithms: from the Thymus to V-detector , Memphis , TN : University of Memphis . Ph.D. Thesis of Department of Computer Science
   Google Scholar
• Gao , X. Z. , Ovaska , S. J. , Wang , X. and Chow , M.-Y. in press . Multi-level optimization of negative selection algorithm detectors with application in motor fault detection . Intelligent Automation and Soft Computing ,
   Web of Science ®Google Scholar
• http://www.eecs.case.edu/laboratory/bearing/welcome_overview.htm
   Google Scholar