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Randomness Evaluation of ZUC, SNOW and GRAIN Stream Ciphers

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Proceedings of International Conference on Communication and Networks

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 508))

Abstract

In 21st Century, Data Security is achieved through Cryptographically secure Pseudo Random Number Generators (CSPRNG). Hence, all stream ciphers uses CSPRNG. Mostly all the Hardware ciphers are developed using Linear Feedback Shift Register (LFSR). Owing to linear nature of LFSR, cipher becomes predictable and hence easily vulnerable to various LFSR based attacks. Secondly, security enhancements cannot be deployed on it because of its hardcore implementation. Therefore, our focus is to implement the various ciphers on multicore architecture without compromising throughput of the cipher. For this, we come up with rigorous literature survey of various stream ciphers like ZUC 1.6, SNOW 3G, GRAIN v1, WG-7, and DECIM v1, and also measure the randomness of above ciphers using NIST Statistical Toolkit.

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Correspondence to Darshana Upadhya .

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Upadhya, D., Gandhi, S. (2017). Randomness Evaluation of ZUC, SNOW and GRAIN Stream Ciphers. In: Modi, N., Verma, P., Trivedi, B. (eds) Proceedings of International Conference on Communication and Networks. Advances in Intelligent Systems and Computing, vol 508. Springer, Singapore. https://doi.org/10.1007/978-981-10-2750-5_6

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  • DOI: https://doi.org/10.1007/978-981-10-2750-5_6

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2749-9

  • Online ISBN: 978-981-10-2750-5

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