Advertisement
Published in:
2015 | OriginalPaper | Chapter
Hopfield Network Based Neural Key Generation for Wireless Communication (HNBNKG)
Authors : J. K. Mandal, Debdyuti Datta, Arindam Sarkar
Published in: Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014
Publisher: Springer International Publishing
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
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.