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

Problem statement: This paper examines Artificial Spiking Neural Network (ASNN) which inter-connects group of artificial neurons that uses a mathematical model with the aid of block cipher. The aim of undertaken this research is to come up with a block cipher where by the keys are randomly generated by ASNN which can then have any variable block length. This will show the private key is kept and do not have to be exchange to the other side of the communication channel so it present a more secure procedure of key scheduling. The process enables for a faster change in encryption keys and a network level encryption to be implemented at a high speed without the headache of factorization. Approach: The block cipher is converted in public cryptosystem and had a low level of vulnerability to attack from brute, and moreover can able to defend against linear attacks since the Artificial Neural Networks (ANN) architecture convey non-linearity to the encryption/decryption procedures. Result: In ...

• Type: Journal
• Year: 2010
• Where: CORR
• Authors: Saleh Ali K. Al-Omari, Putra Sumari
• Keywords: Block Cipher, CORR 2010, Education, Neural Networks, Spiking Neural Network