Traditional signature-based Network Intrusion Detection Systems (NIDS) suffer from high false negative rate because it can detect an intrusion only if there is an existing rule matching the particular real-time attack. The combination of Genetic Algorithms, network security schemes, and IDS practices has created a model of intelligence system that has the ability to derive new best-fit classifi...

Traditionally, many evolutionary algorithm operators have biological inspiration. Genetics has contributed to the proposal of a number of different evolutionary operators, such as haploid crossover, mutation, diploid, inversion, gene doubling, deletion, and others. In the present study, we propose a new geneticinspired evolutionary operator, named Transgenic, which was specially designed for Ge...

Network disintegration or strengthening is a significant problem, which widely used in infrastructure construction, social networks, infectious disease prevention and so on. But most studies assume that the cost of attacking anyone node equal. In this paper, we investigate robustness complex networks under more realistic assumption costs are functions degrees nodes. A multi-objective, elitism-b...