Abstract
In the article proposed the use of artificial immune systems as a heuristic detection method of information security incidents for algorithmic maintenance of intrusion detection systems. Describes the most known computational models of immune systems. As the basis of artificial immune system clonal selection theory is chosen. The algorithm of clonal selection is modified by use of the pseudorandom numbers generator on the basis of Blum- Blum- Shub’s algorithm. For affinity calculation in work the metrics coordination percent is used. Empirical results of an assessment of efficiency of the modified algorithm are received at approbation on a set of test data according to the procedure of research and their analysis. Conclusions about efficiency of application of the artificial immune system modified algorithm with clonal selection are formulated at the solution of a problem of deliberate changes detection on a controlled data set.
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