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This repository contains code related to identifying malicious sensor nodes using the SensorNetGuard Dataset. The code implements three models: Long Short-Term Memory(LSTM), Gated Recurrent Unit(GRU) and One-Dimensional Convolutional Neural Network (1D-CNN).

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JenilGajjar20/SensorNetGuard

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SensorNetGuard Dataset Analysis

This repository contains code related to identifying malicious sensor nodes using the SensorNetGuard Dataset. The code implements three models: Long Short-Term Memory(LSTM), Gated Recurrent Unit(GRU) and One-Dimensional Convolutional Neural Network (1D-CNN). Additionally, various optimizers are applied to the model: Adam, Nadam, Adagrad, RMSProp, Stochastic Gradient Descent(SGD).

Dataset Citation

The dataset used in this repository is sourced from IEEE DataPort.

Dr Karthick Raghunath K M, Dr Arvind K S, September 5, 2023, "SensorNetGuard: A Dataset for Identifying Malicious Sensor Nodes", IEEE Dataport, doi: https://dx.doi.org/10.21227/ba0m-cy61.

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This repository contains code related to identifying malicious sensor nodes using the SensorNetGuard Dataset. The code implements three models: Long Short-Term Memory(LSTM), Gated Recurrent Unit(GRU) and One-Dimensional Convolutional Neural Network (1D-CNN).

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