A REVIEW ON KDD CUP99 AND NSL-KDD DATASET

RITU BALA, Dr. Ritu Nagpal

Abstract


Abstract: Continues use of network services for information and resource sharing makes our work easier. But sometime the extensive use of network services leads many problems in the form of attacks or intrusions which demolish not only the privacy but also the integrity and accessibility of data. Detection of attacks or intrusions on the network is a serious issue of concern for the researchers. Intrusion Detection System solves the purpose of detecting intrusion on the network. Huge amount of data is required to simulate the powerful Intrusion Detection System (IDS) model as well as to train and testing the model. This paper, presents the review of datasets DARPA, KDDCup99 and NSL_KDD which are most widely used by researchers to detect the intrusion in computer network.

Keywords


IDS, Dataset, DARPA, NSL_KDD, KDDCup99

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References


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DOI: https://doi.org/10.26483/ijarcs.v10i2.6395

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