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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 328))

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Abstract

In this paper a key generation technique for encryption/decryption, based on a single-layer perceptron network (Hebb Network), for wireless communication of information or data has been proposed. Two HEBB Neural networks have been used at both the sender and receiver ends. Both the networks have a Random Number Generator (RNG) that generates identical inputs at both ends. As both the networks are synchronized they generate same output pair for same input pair which is used as the secured secret key to encrypt the plain text through some reversible computation to form the cipher text. The receiver generate plain text by performing identical operation. The key is never transmitted during encoding across the network. This process ensures the integrity and confidentiality of a message transmitted via any medium as the secret key is unknown to any intruder thus imparts a potential solution to Man-in-the-middle attack.

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Correspondence to Arindam Sarkar .

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© 2015 Springer International Publishing Switzerland

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Sarkar, A., Mandal, J.K., Mondal, P. (2015). Neuro-key Generation Based on HEBB Network for Wireless Communication. In: Satapathy, S., Biswal, B., Udgata, S., Mandal, J. (eds) Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014. Advances in Intelligent Systems and Computing, vol 328. Springer, Cham. https://doi.org/10.1007/978-3-319-12012-6_22

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  • DOI: https://doi.org/10.1007/978-3-319-12012-6_22

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12011-9

  • Online ISBN: 978-3-319-12012-6

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