Analysis of Lightweight Block Cipher FeW on the Basis of Neural Network

Author:

Jain Aayush,Mishra Girish

Publisher

Springer Singapore

Reference14 articles.

1. Stallings, W.: Cryptography and Network Security: Principles and Practice, 7th edn. Pearson Education, India (2017)

2. Kumar, M., Pal, S.K., Panigrahi, A.: FeW: a lightweight block cipher. IACR Cryptology ePrint Archive, p. 326 (2014)

3. Bogdanov, A., Knudsen, L., Leander, G., Paar, C., Poschmann, A., Robshaw, M., Seurin, Y., Vikkelsoe, C.: PRESENT: An ultra-lightweight block cipher. In: CHES, vol. 4727, pp. 450–466. Springer, Vienna, Austria (2007)

4. Banik, S., Bogdanov, A., Isobe, T., Shibutani, K., Hiwatari, H., Akishita, T., Regazzoni, F.: Midori: a block cipher for low energy. In: International Conference on the Theory and Application of Cryptology and Information Security, pp. 411–436. Springer, Berlin, Heidelberg (2014)

5. Listing of Lightweight Block Ciphers. https://www.cryptolux.org/index.php/Lightweight_Block_Ciphers . Accessed 12 Dec 2017

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