Intrusion Detection Systems using Data Mining Techniques: A comparative study

Intrusion Detection Systems using Data Mining Techniques: A comparative study

Data mining tools are widely used in computer networks. The well-known and mostly used tools to secure computers and network systems are WEKA and TANAGRA. The purpose of this study is to compare these two tools in terms of detection accuracy and computation time. This comparison was conducted using...

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Bibliographic Details
Published in:2021 International Conference on Information Systems and Advanced Technologies (ICISAT) pp. 1 - 3
Main Authors: Haddadi, Mohamed, Khiat, Abdelhamid, Bahnes, Nacera
Format: Conference Proceeding
Language:English
Published: IEEE 27-12-2021
Subjects:
Codes
Computer hacking
Computer networks
Data mining
experimental comparison
IDS
Intrusion detection
Java
NSL KDD dataset
tanagra
Training
weka
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Summary:Data mining tools are widely used in computer networks. The well-known and mostly used tools to secure computers and network systems are WEKA and TANAGRA. The purpose of this study is to compare these two tools in terms of detection accuracy and computation time. This comparison was conducted using a well-known NSL-KDD dataset. Experiments show that TANAGRA achieves better results than WEKA in detection accuracy. But, TANAGRA is competitive with WEKA in terms of computation time.
DOI:10.1109/ICISAT54145.2021.9678485