An optimized neural network with AdaHessian for cryptojacking attack prediction for Securing Crypto Exchange Operations of MEC applications

An optimized neural network with AdaHessian for cryptojacking attack prediction for Securing Crypto Exchange Operations of MEC applications

Abstract Bitcoin exchange security is crucial because of MEC's widespread use. Cryptojacking has compromised MEC app security and bitcoin exchange ecosystem functionality. This paper propose a cutting-edge neural network and AdaHessian optimization technique for cryptojacking prediction and def...

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Bibliographic Details
Main Authors: Uma Rani, Sunil Kumar, Neeraj Dahiya, Kamna Solanki, Shanu Rakesh Kuttan, Sajid Shah, Momina Shaheen, Faizan Ahmad
Format: Article
Language:English
Published: SpringerOpen 2024-03-01
Series:Journal of Cloud Computing: Advances, Systems and Applications
Subjects:
Mobile Edge Computing (MEC) Deep Neural network model
Post-training quantization
AdaHessian optimizer
Cryptojacking attack
Crypto Exchange Operations
Online Access:https://doi.org/10.1186/s13677-024-00630-y

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