A Detailed Analysis on NSL-KDD Dataset Using Various Machine Learning Techniques for Intrusion Detection

During the last decade the analysis of intrusion detection has become very important, the researcher focuses on various dataset to improve system accuracy and to reduce false positive rate based on DAPRA 98 and later the updated version as KDD cup 99 dataset which shows some statistical issues, it degrades the evaluation of anomaly detection that affects the performance of the security analysis which leads to the replacement of KDD dataset to NSL-KDD dataset. This paper focus on detailed study on NSL- KDD dataset that contains only selected record. This selected dataset provide a good analysis on various machine learning techniques for intrusion detection.

Перевод пока недоступен