Quantum evolutionary algorithm for optimizing network intrusion signature database
Zhang Zong-fei · Journal of Computer Applications · 2010
Concerning the poor performance of the intrusion signature database in network intrusion detection system the Improved Quantum Evolutionary Algorithm IQEA of optimizing network intrusion signature database was proposed in this paper.The IQEA adopted eigenvector to express chromosome structure initialized population based on the idea of niche cooperative evolutionary designed the fitness function based on the matching degree of individual and used the strategy about the dynamic update of quantum rotation corner and the cross of excellent individuals to evolve population.The simulation results show that the IQEA is superior to QEA and EA in search ability and convergence rate and the intrusion signature database optimized by IQEA has better detection ability and self adaptability.