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Problem statement: This paper examines Artificial Spiking Neural Network(ASNN) which inter-connects group of artificial neurons that uses amathematical model with the aid of block cipher. The aim of undertaken thisresearch is to come up with a block cipher where by the keys are randomlygenerated by ASNN which can then have any variable block length. This will showthe private key is kept and do not have to be exchange to the other side of thecommunication channel so it present a more secure procedure of key scheduling.The process enables for a faster change in encryption keys and a network levelencryption to be implemented at a high speed without the headache offactorization. Approach: The block cipher is converted in public cryptosystemand had a low level of vulnerability to attack from brute, and moreover canable to defend against linear attacks since the Artificial Neural Networks(ANN) architecture convey non-linearity to the encryption/decryptionprocedures. Result: In this paper is present to use the Spiking Neural Networks(SNNs) with spiking neurons as its basic unit. The timing for the SNNs isconsidered and the output is encoded in 1's and 0's depending on the occurrenceor not occurrence of spikes as well as the spiking neural networks use a signfunction as activation function, and present the weights and the filtercoefficients to be adjust, having more degrees of freedom than the classicalneural networks. Conclusion: In conclusion therefore, encryption algorithm canbe deployed in communication and security applications where data transfers aremost crucial. So this paper, the neural block cipher proposed where the keysare generated by the SNN and the seed is considered the public key whichgenerates the both keys on both sides In future therefore a new research willbe conducted on the Spiking Neural Network (SNN) impacts on communication.

international journal of computer science and information technology/international journal of computer science and information technology  (chennai. print)

Spiking Neurons With ASNN Based-Methods for the Neural Block Cipher