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Development of Hybrid Intrusion Detection Systems for IoT Enabled Devices Utilizing Resource Constraint Learning Frameworks Cover

Development of Hybrid Intrusion Detection Systems for IoT Enabled Devices Utilizing Resource Constraint Learning Frameworks

Open Access
|Jun 2024

Figures & Tables

Figure 1:

Hybrid LSTM-GRU Intrusion Detection Framework
Hybrid LSTM-GRU Intrusion Detection Framework

Figure 2:

Long Short Term Memory Network
Long Short Term Memory Network

Figure 3:

Gated Recurrent Unit Network
Gated Recurrent Unit Network

Figure 4:

Hyperparameter tuning Grid Search Architecture
Hyperparameter tuning Grid Search Architecture

Figure 5:

Comparative Analysis of Different Deep Learning Models Based on Evaluating the Accuracy
Comparative Analysis of Different Deep Learning Models Based on Evaluating the Accuracy

Figure 6:

ROC Curve for different models in intrusion detection
ROC Curve for different models in intrusion detection

Comparitive Analysis between different models for intrusion detection

AlgorithmAccuracyPrecisionRecallF1-ScoreSpecificity
CNN0.750.780.780.790.78
RNN0.770.80.790.80.8
LSTM0.850.860.860.870.88
GRU0.890.90.90.890.9
Proposed Model0.950.960.950.960.95

Hyperparameter Tuning for proposed Model

Learning RateNo. of unitsDropout RateOptimizer
0.001160.2Adam
0.01320.3SGD
0.1640.5RMSProp

Evaluation of Performance Metrics

Performance MeasuresExpression
Accuracy TP+TNTP+TN+FP+FN ${{TP + TN} \over {TP + TN + FP + FN}}$
Precision TNTP+FP ${{TN} \over {TP + FP}}$
Recall TPTP+FN×100 ${{{\rm{TP}}} \over {{\rm{TP}} + {\rm{FN}}}} \times 100$
F1-Score PrecisonRecallPrecison+Recall ${{Precison\, * \,{Recall}} \over {Precision\, + \, {Recall}}}$
Specificity TNTN+FP ${{TN} \over {TN + FP}}$
Language: English
Page range: 60 - 76
Submitted on: Feb 11, 2024
Accepted on: May 1, 2021
Published on: Jun 15, 2024
Published by: Future Sciences For Digital Publishing
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2024 P. Rachana, Mamatha Talakoti, V. Surya Narayana Reddy, published by Future Sciences For Digital Publishing
This work is licensed under the Creative Commons Attribution 4.0 License.