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Decentralized Blockchain With Convolutional Neural Network Model for Security Attack Mitigation


Affiliations
1 Department of Computer Science and Engineering, Madurai Institute of Engineering and Technology, India., India
2 Department of Information Technology, DMI College of Engineering, India., India
     

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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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  • Decentralized Blockchain With Convolutional Neural Network Model for Security Attack Mitigation

Abstract Views: 173  |  PDF Views: 0

Authors

C. Berin Jones
Department of Computer Science and Engineering, Madurai Institute of Engineering and Technology, India., India
D. Jeba Kingsley
Department of Information Technology, DMI College of Engineering, India., India

Abstract


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.

References