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Decentralized Blockchain With Convolutional Neural Network Model for Security Attack Mitigation
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In recent era, there is a demand and a need for more effective solutions based on new technologies for detection and mitigation because of the limitations and current state of the methods. In this research, we propose the design of a distributed ledger that utilises a convolutional neural network as a layer of defence against intrusions carried out by malicious actors. The result of simulation shows that the proposed method achieves a better traffic flow than the existing methods.
Keywords
Blockchain, Convolutional Neural Network, Security, Mitigation, Passive Attacks, Traffic Flow.
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