An effective source recognition algorithm f extraction of significant binary words

摘要

The present paper deals with the computation of binary words, viz., N-grams and delay grams, where N is statis- tically valid size of pattern words. Three approaches of feature selection methods have been proposed to arrive at the most significant binary pattern words. The proposed methods reduce the dimensionality of pattern space drastically. Features obtained through these procedures are having more discriminatory power for identifying the different pseudorandom sequence generator.