Abstract
RC4 is the most widely used stream cipher in many applications. Many Distinguishing Attacks on RC4 system have been published which are based on statistical approaches. These statistical Distinguishing Attacks exploit distribution of bytes, diagraphs and trigraphs in RC4 generated output key stream with respect to random key stream. This paper presents an Artificial Neural Network (ANN) based approach to distinguish RC4 key stream from random key stream. The Joint Mutual Information (JMI) criterion has been used in effective feature selection. The prominent features are used in Back-propagation learning of Multilayer Perceptron (MLP) network to distinguish RC4 system.
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Bhateja, A.K., Din, M. (2013). ANN Based Distinguishing Attack on RC4 Stream Cipher. In: Bansal, J., Singh, P., Deep, K., Pant, M., Nagar, A. (eds) Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012). Advances in Intelligent Systems and Computing, vol 202. Springer, India. https://doi.org/10.1007/978-81-322-1041-2_9
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DOI: https://doi.org/10.1007/978-81-322-1041-2_9
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