Secure Data Transmission Cryptographic Protocol Optimization
Keywords:
Hybrid quantum-classical neural networks, cryptographic protocols, encryption optimization, machine learningAbstract
Cryptographic protocol innovation is very crucial because many industries need safe data transit. Despite these success traditional encryption methods is challenged by the classical computers processing power. To come up with this issue combination of quantum computing and classical machine learning hybrid quantum classical neural network can be used. This research paper analysis HQ-CNNs can optimise cryptography approach for secure data transit, as quantum computing with traditional neural networks may be faster, more secure encryption in Next Generation Cryptography Systems.
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