Hopfield Network Based Neural Key Generation for Wireless Communication (HNBNKG) | SpringerLink
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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 and encryption/decryption technique based on Hopfield Neural network has been proposed for wireless communication. Hopfield Neural networks at both ends forms identical input vector, weight vector which in turn produces identical output vector which is used for forming secret-key for encryption/decryption. Using this secret-key, plain text is encrypted to form the cipher text. Encryption is performed by Exclusive-OR operation between plaintext and secret-key. Decryption is performed at the receiver through Exclusive-OR operation between cipher text and identical secret-key generated. Receiver regenerate the original message sent by the sender as encrypted stream. In HNBNKG technique sender and receiver never exchange secret-key. This technique ensured that, when message is transmitting between sender-receiver nobody can regenerate the message as no key is exchanged.

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References

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Correspondence to J. K. Mandal .

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© 2015 Springer International Publishing Switzerland

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Mandal, J.K., Datta, D., Sarkar, A. (2015). Hopfield Network Based Neural Key Generation for Wireless Communication (HNBNKG). 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_24

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  • DOI: https://doi.org/10.1007/978-3-319-12012-6_24

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12011-9

  • Online ISBN: 978-3-319-12012-6

  • eBook Packages: EngineeringEngineering (R0)

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