A modified advanced encryption standard-based model for secured data transmission in cognitive radio with multi-channels Online publication date: Fri, 05-Apr-2024
by Kiran P. More; Rajendrakumar A. Patil
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 26, No. 3, 2024
Abstract: Cognitive Radio Network (CRN) is said to be a capable mechanism for boosting the advancement of 5G networks. Designing of Medium Access Control (MAC) protocol for CRN is demanding owing to the complexity concerned with accessing and sensing the channel. Our previous work focused on predicting the channel states using an optimisation-based DBN prediction model. In this research, the channel state is predicted using a novel Cat and Mouse Based Optimiser (I-CMBO)-based LSTM. Moreover, it is aimed to perform secure data transmission via Modified Advanced Encryption Standard (M-AES) protocol and secure communication through the predicted available spectrum channels. At last, the investigation was done to depict the enhancement of the presented model. From the scrutiny, it is noticed that the LSTM scheme has obtained a much negligible sensing delay of 0.11391 for PU count = 100 for experimentation 2.
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