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

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

Intrusion detection is a fundamental part of security tools, such as adaptive security appliances, intrusion detection systems, intrusion prevention systems, and firewalls. Various intrusion detection techniques are used, but their performance is an issue. Intrusion detection performance depends on...

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Bibliographic Details
Main Authors: Iftikhar Ahmad, Mohammad Basheri, Muhammad Javed Iqbal, Aneel Rahim
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Detection rate
extreme learning machine
false alarms
NSL–KDD
random forest
support vector machine
Online Access:https://ieeexplore.ieee.org/document/8369054/

Internet

https://ieeexplore.ieee.org/document/8369054/

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