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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
Evaluation of IDS by using the Machine Learning method
Type
Thesis
Keywords
IDS, Nsl-kdd dataset, Classification algorithms, Intrusion Detection System (IDS), machine learning (ML).
Year
2023
Researchers Saif Abbas Ali Hussein(Student)، Montajab Ghanem(Advisor)، Mostafa Bastam(PrimaryAdvisor)، Ehsan Ataie(PrimaryAdvisor)

Abstract

The internet is growing very fast today. On the one hand, it facilitates people's daily lives, but on the other hand, privacy is exposed to potential threats if the necessary security measures are not taken. A network intrusion detection system (IDS) may be equipped with machine learning algorithms for better accuracy and speed to detect or prevent network attacks in this area. Recent research into intrusion detection and anomalies shows the widespread use of machine learning (ML) algorithms to detect malicious Internet traffic, from a neural network to learning a model to display a sequence of connections between computers on a network by analysis and selection.