Identification of Block Ciphers using Support Vector Machines
A. D. Dileep, Chigurupalli Chandra Sekhar · The 2006 IEEE International Joint Conference on Neural Network Proceedings · 2006
In this paper, we propose an approach for identification of encryption method for block ciphers using support vector machines. The task of identification of encryption method from cipher text only is considered as a document categorization task. We address the issues in representing a cipher text by a document vector. We consider the common dictionary based method and the class specific dictionary based method for generating a document vector from a cipher text. As the dimension of document vector is large, support vector machines based classifiers are considered for identification of encryption method. We present the performance of the proposed approach for cipher texts generated using five block ciphers.