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In this paper, a genetic secret key based technique for neural encryption (AGKNE) has been proposed for online transmission of data/information in wireless communication. In this method both the communicating party receive the similar input vector, generate an output bit and are trained based on the output bit. Length of the key depends on the number of input and output neurons. Synchronized identical weight vectors are used to create chromosomes pool. Genetic secret key is generated on calculating the fitness function, which is the hamming distance between two chromosomes. GA operators like crossover and mutation are also used to add elitism of chromosomes. Plain stream passes through recursive modulo 2-substitution operation to generate intermediate cipher which is again encrypted using neuro genetic key to form the 2 ^nd level cipher stream. Finally, chaining and cascaded xoring of neural key with …