GF-NSA: A Negative Selection Algorithm Based on Self Grid File

Abstract

The efficiency of traditional negative selection algorithm is too low to be applied. In our algorithm before the detector creation process, the structure of self data set is pre-treated to be a grid file, and the negative selection process is transformed into a data query procedure in the self grid file to improve the negative selection efficiency. Furthermore, each detector recorded its grid id to dynamically update itself along with the variations of self data in the grid.