关键词: 免疫入侵检测, 文化算法, 柯西变异, 混沌变异, 克隆选择

Abstract: Clonal selection algorithm is the core of the detectors’evolution in immune invasion theory. In traditional immune clonal selection algorithm, it is difficult to take into account the global and local search with a single mutation, which leads to the disadvantage of easy to fall into local optimization or slow convergence. By introducing cultural algorithm, this paper realizes the evolution of population space and belief space. This paper proposes clonal selection algorithm of adaptive hybrid mutation, which combines the strong global search ability of cauchy mutation with the strong local search ability of chaos mutation in the mutation. And it utilizes the knowledge of belief space to adaptively determine the time and the proportion of the two kinds of mutations. The algorithm is tested in KDDCUP99 data set. The result shows that the algorithm has good convergence and robustness.

Key words: immune intrusion detection, cultural algorithm, cauchy mutation, chaos mutation, clonal selection