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Advances, Systems and Applications

Table 1 Parameters used for simulation

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

Parameters

Details

CNN Model

Transfer Learning and Light-weight CNN (mobile-V3) with SVM

No Training Layers

100–250

Epochs

50–100

Optimizer used

Stochastic Gradient Descent (SGD) Optimizer

Model learning rate

0.001

Loss function

Categorical Cross Entropy (CCE) function

Activation function

SoftMax, ReLu

Batch size

256

Hidden Layer Architecture

(256,128,64)