TY - GEN
T1 - A multi-mutation pattern immune network for intrusion detection
AU - Linhui, Zhao
AU - Xin, Fang
AU - Yaping, Dai
PY - 2008
Y1 - 2008
N2 - Basing on the immune network theory and pattern recognition approach, A Multi-Mutation pattern immune network (MPIN) adaptive detector is proposed. By utilizing the immune response principle, the detection algorithm is designed. Because new features can be learnt by the MPIN in the real-time way, the detector is able to modify dynamically without periodical updating, and the detector's ability of identifying novel attacks are also improved. Combined with a template-adjustable decision templates fusion algorithm, a three-level-module adaptive intrusion detection system (TAIDS) is presented. Experiments are carried out on Fisher Iris dataset and KDDCUP- 99 database to verify the performance of this MPIN detector and TAIDS. Compared with the detection approach based on neural networks, the false positive rate is decreased by 17.43% and the detection accuracy of unknown attacks is increased by 24.27%.
AB - Basing on the immune network theory and pattern recognition approach, A Multi-Mutation pattern immune network (MPIN) adaptive detector is proposed. By utilizing the immune response principle, the detection algorithm is designed. Because new features can be learnt by the MPIN in the real-time way, the detector is able to modify dynamically without periodical updating, and the detector's ability of identifying novel attacks are also improved. Combined with a template-adjustable decision templates fusion algorithm, a three-level-module adaptive intrusion detection system (TAIDS) is presented. Experiments are carried out on Fisher Iris dataset and KDDCUP- 99 database to verify the performance of this MPIN detector and TAIDS. Compared with the detection approach based on neural networks, the false positive rate is decreased by 17.43% and the detection accuracy of unknown attacks is increased by 24.27%.
KW - Immune networks
KW - Intrusion detection
KW - Pattern recognition
UR - http://www.scopus.com/inward/record.url?scp=64049088832&partnerID=8YFLogxK
U2 - 10.1109/ICIAFS.2008.4783965
DO - 10.1109/ICIAFS.2008.4783965
M3 - Conference contribution
AN - SCOPUS:64049088832
SN - 9781424429004
T3 - Proceedings of the 2008 4th International Conference on Information and Automation for Sustainability, ICIAFS 2008
SP - 120
EP - 125
BT - Proceedings of the 2008 4th International Conference on Information and Automation for Sustainability, ICIAFS 2008
T2 - 2008 4th International Conference on Information and Automation for Sustainability, ICIAFS 2008
Y2 - 12 December 2008 through 14 December 2008
ER -
