Metaheuristic Firefly and C5.0 Algorithms Based Intrusion Detection for Critical Infrastructures
Author:
Affiliation:
1. Al-Hikmah University,Department of Computer Science,Ilorin,Nigeria
2. Østfold University College,Department of Computer Sciences and Communication,Halden,Norway
3. Institute for Energy Technology,Department of Risk and Security,Halden,Norway
Funder
Research Council of Norway
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10193875/10193865/10193917.pdf?arnumber=10193917
Reference60 articles.
1. An Active Defense Model with Low Power Consumption and Deviation for Wireless Sensor Networks Utilizing Evolutionary Game Theory
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3. Wireless Sensor Networks Intrusion Detection Based on SMOTE and the Random Forest Algorithm
4. An improved method to construct basic probability assignment based on the confusion matrix for classification problem
5. Performance Improvement of Intrusion Detection System for Detecting Attacks on Internet of Things and Edge of Things
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1. ResNet50-1D-CNN: A new lightweight resNet50-One-dimensional convolution neural network transfer learning-based approach for improved intrusion detection in cyber-physical systems;International Journal of Critical Infrastructure Protection;2024-07
2. Network Intrusion Detection Using Knapsack Optimization, Mutual Information Gain, and Machine Learning;Journal of Electrical and Computer Engineering;2024-06-01
3. A voting gray wolf optimizer-based ensemble learning models for intrusion detection in the Internet of Things;International Journal of Information Security;2024-01-09
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