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Analytical model, security analysis, and optimal contribution of keys in the mixed cryptographic key are provided, which demonstrate the validity of this approach in point-to-point and network environments.
A proactive mitigation framework that applies the unified Autoregressive Recurrent Neural Network (AR-RNN) that significantly improves network reliability, reducing the network outage probability by up to 50% compared to standard reactive handover procedures.
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