A Heuristic Detector Generation Algorithm for Negative Selection Algorithm with Hamming Distance Partial Matching Rule - Artificial Immune Systems - page 243

4. A. O. Taraknaov, V. A. Skormin and S. P. Sokolova. Immunocomputing: Principles and
Applications. Springer-Verlag (2003)
5. S. Forrest, A. S. Perelson, L. Allen, and R. Cherukuri. Self-nonself Discrimination in a
Computer. Proc. the 1994 IEEE Symposium on Research in Security and Privacy, Los
Alamitos, CA (1994) 202-212
6. M. Ayara, J. Timmis, L. N. de Lemos, R. de Castro, R. Duncan. Negative Selection: How
to Generate Detectors. Proc. the First International Conference on Artificial Immune Sys-
tems, J. Timmis and P. J. Bentley, Editors (2002) 89-98
7. P. D'haeseleer, S. Forrest, P. Helman. An Immunological Approach to Change Detection:
Algorithms, Analysis and Implications. Proc. the 1996 IEEE Symposium on Security and
Privacy, Los Alamitos, CA (1996) 110-119
8. J. Balthrop, F. Esponda, S. Forrest, M. Glickman. Coverage and Generatization in an Arti-
ficial Immune System. Proc. the 2002 Genetic and Evolutionary Computation Conference,
(2002) 3-10
9. Z. Ji and D. Dasgupata. Augmented Negative Selection Algorithm with Variable-Coverage
Detectors. Proc. Congress on Evolutionary Computation, CEC, Vol. 1, 2004 (1081-1088)
10. Z. Ji and D. Dasgupata. Real-Valued Negative Selection Algorithm with Variable-Sized
Detectors. Proc. the 2004 Genetic and Evolutionary Computation Conference, Seattle,
Washington USA (2004) 287-298
11. T. Stibor, K. Bayarou, C. Eckert. An Investigation of R-chunk Detector Generation on
Higher Alphabets. Proc. the 2004 Genetic and Evolutionary Computation Conference,
Lecture Notes in Computer Science, Vol. 3102, Springer-Verlag (2004) 229-307
12. T. Stibor, P. Mohr, J. Timmis and C. Eckert. Is Negative Selection Appropriate for Anom-
aly Detection? Proc. the 2005 Genetic and Evolutionary Computation Conference
(GECCO), Washington DC, USA, ACM Press (2005) 321-328
13. Wenjian Luo, Xufa Wang, et al. Evolutionary Negative Selection Algorithms for Anomaly
Detection. Proc. the 8th Joint Conference on Information Sciences (JCIS'2005), the 7th In-
ternational Conference on Computational Intelligence and Natural Computing
(CINC'2005), held in conjunction with the 8th Joint Conference on Information Sciences
(JCIS'2005), Salt Lake City, Utah (2005) 440-445