Wormhole detection in MANET using MLP
Version 1.0.0 (126 KB) by
Majid Farzaneh
Wormhole attack detection in Mobile Ad-hoc Networks using a Multi-Layer Neural Network
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 (2025). Wormhole detection in MANET using MLP (https://uk.mathworks.com/matlabcentral/fileexchange/74104-wormhole-detection-in-manet-using-mlp), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Created with
R2019b
Compatible with any release
Platform Compatibility
Windows macOS LinuxCategories
- AI and Statistics > Deep Learning Toolbox >
- AI and Statistics > Deep Learning Toolbox > Train Deep Neural Networks >
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| Version | Published | Release Notes | |
|---|---|---|---|
| 1.0.0 |
