Wormhole detection in MANET using MLP
Wormhole attack detection in Mobile Ad-hoc Networks using a Multi-Layer Neural Network:
Energy, Time, etc. for each node provided. This is a simulation for a Mobile Ad-hoc Network which may be under the wormhole attack. This MANET equipped by a neural network that can detect the wormhole attack and make a proper decision in sending data between nodes.
Cite As
Majid Farzaneh (2024). Wormhole detection in MANET using MLP (https://www.mathworks.com/matlabcentral/fileexchange/74104-wormhole-detection-in-manet-using-mlp), MATLAB Central File Exchange. Retrieved .
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- AI, Data Science, and Statistics > Deep Learning Toolbox > Deep Learning Fundamentals >
- AI, Data Science, and Statistics > Deep Learning Toolbox > Deep Learning Fundamentals > Train Deep Neural Networks >
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Version | Published | Release Notes | |
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1.0.0 |