NSL-KDD is a data set suggested to solve some of the inherent problems of the KDD'99 data set which are mentioned in . Although, this new version of the KDD data set still suffers from some of the problems discussed by McHugh and may not be a perfect representative of existing real networks, because of the lack of public data sets for network-based IDSs, we believe it still can be applied as an effective benchmark data set to help researchers compare different intrusion detection methods. Furthermore, the number of records in the NSL-KDD train and test sets are reasonable. This advantage makes it affordable to run the experiments on the complete set without the need to randomly select a small portion. Consequently, evaluation results of different research work will be consistent and comparable.
It does not include redundant records in the train set, so the classifiers will not be biased towards more frequent records.
There is no duplicate records in the proposed test sets; therefore, the performance of the learners are not biased by the methods which have better detection rates on the frequent records.
The number of selected records from each difficultylevel group is inversely proportional to the percentage of records in the original KDD data set. As a result, the classification rates of distinct machine learning methods vary in a wider range, which makes it more efficient to have an accurate evaluation of different learning techniques.
The number of records in the train and test sets are reasonable, which makes it affordable to run the experiments on the complete set without the need to randomly select a small portion. Consequently, evaluation results of different research works will be consistent and comparable.
ISCX is the largest R&D centre specializing network security in Canada.
ISCX is a home to the Canadian Honeynet project.
Sentrant (formerly, Ara Labs Security Solutions) is a spin off from ISCX. In 2013 Ara Labs received the ‘most promising start up’ award from the New Brunswick Knowledge Industry Recognition and Achievement (KIRA).
Since its inception, ISCX has brought to UNB over $5M in research funding and trained over 30 professionals.
ISCX students originate from more than 10 countries, contributing to the cultural fabric of our host communities and the entire province.