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In the realm of Internet of Things (IoT) systems, the generation of cryptographic keys is crucial for ensuring secure data transmission and device authentication. However, traditional methods of generating random keys encounter challenges about security, efficiency, and scalability, particularly when applied to resource-constrained IoT devices. To...
Contexts in source publication
Context 1
... neural key generation algorithm has been implemented using the RNN architecture. Figure 7 displays the precision and loss curves for the implemented algorithm. Based on the observations depicted in Figure 7, it appears that relying solely on the RNN architecture may not be adequate for efficient key generation. ...
Context 2
... 7 displays the precision and loss curves for the implemented algorithm. Based on the observations depicted in Figure 7, it appears that relying solely on the RNN architecture may not be adequate for efficient key generation. The model demonstrates a low level of validation accuracy and a high loss, indicating that the RNN architecture may struggle to capture the intricate details required for consistent key generation. ...
Context 3
... neural key generation algorithm has been implemented using the RNN architecture. Figure 7 displays the precision and loss curves for the implemented algorithm. Based on the observations depicted in Figure 7, it appears that relying solely on the RNN architecture may not be adequate for efficient key generation. ...
Context 4
... 7 displays the precision and loss curves for the implemented algorithm. Based on the observations depicted in Figure 7, it appears that relying solely on the RNN architecture may not be adequate for efficient key generation. The model demonstrates a low level of validation accuracy and a high loss, indicating that the RNN architecture may struggle to capture the intricate details required for consistent key generation. ...
Context 5
... neural key generation algorithm has been implemented using the RNN architecture. Figure 7 displays the precision and loss curves for the implemented algorithm. Based on the observations depicted in Figure 7, it appears that relying solely on the RNN architecture may not be adequate for efficient key generation. ...
Context 6
... 7 displays the precision and loss curves for the implemented algorithm. Based on the observations depicted in Figure 7, it appears that relying solely on the RNN architecture may not be adequate for efficient key generation. The model demonstrates a low level of validation accuracy and a high loss, indicating that the RNN architecture may struggle to capture the intricate details required for consistent key generation. ...
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