What question did this study set out to answer?

To compare the classification performance of support vector machines, random forests, and extreme learning machines for detecting cyber threats in large network datasets.

January 1, 2018IEEE AccessOpen Access

Performance Comparison of Support Vector Machine, Random Forest, and Extreme Learning Machine for Intrusion Detection

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Authors

IAIftikhar AhmadKing Abdulaziz University MBMohammad BasheriKing Abdulaziz University MIMuhammad IqbalHigher Institute of Engineering

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Implication

Comparative evaluation reveals that extreme learning machine outperforms alternative classifiers on network intrusion data, suggesting improved accuracy and scalability for cybersecurity systems.

Key Points

To compare the classification performance of support vector machines, random forests, and extreme learning machines for detecting cyber threats in large network datasets.
Evaluated three supervised machine learning algorithms: support vector machine (SVM), random forest, and extreme learning machine (ELM).
Assessed classification accuracy and efficiency using the benchmark NSL-Knowledge Discovery and Data Mining (NSL-KDD) dataset.
Extreme learning machine (ELM) achieved superior overall classification performance compared to SVM and random forest approaches.
The ELM framework demonstrated greater suitability for processing large-scale network traffic data compared to conventional algorithms that exhibit performance bottlenecks.

Cite This Study

Ahmad et al. (2018) studied this question.

synapsesocial.com/papers/6a11f25350c8e9d075ccc7bc https://doi.org/10.1109/access.2018.2841987

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Implication

Comparative evaluation reveals that extreme learning machine outperforms alternative classifiers on network intrusion data, suggesting improved accuracy and scalability for cybersecurity systems.

Performance Comparison of Support Vector Machine, Random Forest, and Extreme Learning Machine for Intrusion Detection

Discussion

Member takes

Implication

Key Points

Cite This Study

Performance Comparison of Support Vector Machine, Random Forest, and Extreme Learning Machine for Intrusion Detection

Discussion

Member takes

Implication

Key Points

Cite This Study

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