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Mostafa Bastam

Mostafa Bastam

Academic rank: Assistant Professor
ORCID: 1
Education: PhD.
ScopusId:
Faculty: Faculty of Technology and Engineering
Address:
Phone: 35305114

Research

Title
An MLP-based Deep Learning Approach for Detecting DDoS Attacks
Type
JournalPaper
Keywords
Distributed denial of service, Network security, Machine learning, Multi-layer perceptron, CICDDoS2019
Year
2022
Journal TABRIZ JOURNAL OF ELECTRICAL ENGINEERING
DOI
Researchers Mojtaba Vasou Jouybari ، Ehsan Ataie ، Mostafa Bastam

Abstract

Distributed Denial of Service (DDoS) attacks are among the primary concerns in internet security today. Machine learning can be exploited to detect such attacks. In this paper, a multi-layer perceptron model is proposed and implemented using deep machine learning to distinguish between malicious and normal traffic based on their behavioral patterns. The proposed model is trained and tested using the CICDDoS2019 dataset. To remove irrelevant and redundant data from the dataset and increase learning accuracy, feature selection is used to select and extract the most effective features that allow us to detect these attacks. Moreover, we use the grid search algorithm to acquire optimum values of the model’s hyperparameters among the parameters’ space. In addition, the sensitivity of accuracy of the model to variations of an input parameter is analyzed. Finally, the effectiveness of the presented model is validated in comparison with some state-of-the-art works.