Classification of Pseudo Random Numbers Using Support Vector Machine Classifier

Abstract: The paper studies about the randomness and its application in the field of cryptography. It is already known to have randomness having applications in the fields of gaming, gambling, statistics etc. But, in applications such as cryptography, randomness has a vital role. As with the use of these random numbers only, a highly secure message can be formed. So, Pseudo Random numbers classification is proposed in this paper so that sources of these random numbers can be classified for the enhancement in the security level. The result shows good accuracy of classification of these random numbers i.e. classified using multi-SVM.

Keywords: Cryptanalysis, Multi-SVM, PRNGs, TRNGs.