Intensive Pre-Processing of KDD Cup 99 for Network Intrusion Classification Using Machine Learning Techniques

Intensive Pre-Processing of KDD Cup 99 for Network Intrusion Classification Using Machine Learning Techniques

Abstract— Network security engineers work to keep services available all the time by handling intruder attacks. Intrusion Detection System (IDS) is one of the obtainable mechanism that used to sense and classify any abnormal actions. Therefore, the IDS must be always up to date with the latest intru...

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Bibliographic Details
Main Authors: Ibrahim Obeidat, Nabhan Hamadneh, Mouhammd Alkasassbeh, Mohammad Almseidin, Mazen Ibrahim AlZubi
Format: Article
Language:English
Published: International Association of Online Engineering (IAOE) 2019-01-01
Series:International Journal of Interactive Mobile Technologies
Subjects:
— IDS, DDoS, MLP, Naïve Bayes, Random Forest
Online Access:https://online-journals.org/index.php/i-jim/article/view/9679

Internet

https://online-journals.org/index.php/i-jim/article/view/9679

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