Evaluation of boruta algorithm in DDoS detection

Noor Farhana, Mohd Zuki and Ahmad Firdaus, Zainal Abidin and Mohd Faaizie, Darmawan and Mohd Faizal, Ab Razak (2023) Evaluation of boruta algorithm in DDoS detection. Egyptian Informatics Journal, 24 (1). pp. 27-42. ISSN 1110-8665. (Published)

Evaluation of Boruta algorithm in DDoS detection.pdf
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (5MB) | Preview


Distributed Denial of Service (DDoS) is a type of attack that leverages many compromised systems or computers, as well as multiple Internet connections, to flood targeted resources simultaneously. A DDoS attack's main purpose is to disrupt website traffic and cause it to crash. As traffic grows over time, detecting a Distributed Denial of Service (DDoS) assault is a challenging task. Furthermore, a dataset containing a large number of features may degrade machine learning's detection performance. Therefore, in machine learning, it is necessary to prepare a relevant list of features for the training phase in order to obtain good accuracy performance. With far too many possibilities, choosing the relevant feature is complicated. This study proposes the Boruta algorithm as a suitable approach to achieve accuracy in identifying the relevant features. To evaluate the Boruta algorithm, multiple classifiers (J48, random forest, naïve bayes, and multilayer perceptron) were used so as to determine the effectiveness of the features selected by the the Boruta algorithm. The outcomes obtained showed that the random forest classifier had a higher value, with a 100% true positive rate, and 99.993% in the performance measure of accuracy, when compared to other classifiers.

Item Type: Article
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Boruta algorithm; DDoS; J48; Machine learning; Multilayer perceptron; Naïve bayes; Random forest
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
Faculty/Division: Institute of Postgraduate Studies
Faculty of Computing
Depositing User: Mr Muhamad Firdaus Janih@Jaini
Date Deposited: 29 Aug 2023 07:43
Last Modified: 29 Aug 2023 07:43
URI: http://umpir.ump.edu.my/id/eprint/37625
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item