Identification of Cryptographically Strong and Weak Pseudorandom Bit Generators

Cryptographically strong Psuedo Random Bit Generators (PRBGs) are used extensively for confidentiality of information. If these PRBGs are weak then the security of information is at stack. In this paper we are giving a model which will use confidence interval and multidimentional scaling for their identification. This statistical model can be used to estimate the strength of a new PRBGs.