A multimodal hybrid parallel network intrusion detection model

S Shi, D Han, M Cui - Connection Science, 2023 - Taylor & Francis
With the rapid growth of Internet data traffic, the means of malicious attack become more
diversified. The single modal intrusion detection model cannot fully exploit the rich feature …

Improved dropping attacks detecting system in 5g networks using machine learning and deep learning approaches

A Mughaid, S AlZu'bi, A Alnajjar, E AbuElsoud… - Multimedia Tools and …, 2023 - Springer
Abstract Non Orthogonal Multiple Access (NOMA) successfully drew attention to the
deployment of 5th Generation (5G) wireless communication systems, and it is now …

Advanced feature-selection-based hybrid ensemble learning algorithms for network intrusion detection systems

DN Mhawi, A Aldallal, S Hassan - Symmetry, 2022 - mdpi.com
As cyber-attacks become remarkably sophisticated, effective Intrusion Detection Systems
(IDSs) are needed to monitor computer resources and to provide alerts regarding unusual or …

A survey on sql injection attack: Detection and challenges

Z Marashdeh, K Suwais, M Alia - … International Conference on …, 2021 - ieeexplore.ieee.org
Web applications are seen to play a vital role in the individual lives and even assist in the
economic development of the country. However, many security vulnerabilities have been …

[PDF][PDF] An Enhanced Intrusion Detection System for Protecting HTTP Services from Attacks.

H Al-Mimi, NA Hamad, MM Abualhaj, MS Daoud… - International Journal of …, 2023 - i-csrs.org
Cybercriminals constantly develop new sophisticated methods to breach the security of their
targets, thereby increasing cyberattack cases. HTTP is one of the earliest and most …

[PDF][PDF] Stacknet based decision fusion classifier for network intrusion detection.

IK Nti, O Narko-Boateng, AF Adekoya… - Int. Arab J. Inf …, 2022 - iajit.org
Network intrusion is a subject of great concern to a variety of stakeholders. Decision fusion
(ensemble) models that combine several base learners have been widely used to enhance …

[PDF][PDF] Artificial Intelligence Scheme for Medical Images Classification and Prediction.

B Al-Kasasbeh - International Journal of Advances in Soft Computing & …, 2022 - i-csrs.org
Medicine is the industry where smart technologies and artificial intelligence are most
commonly used. Medical imaging is usually used for tumor diagnosis; this includes …

A model for the disclosure of probe attacks based on the utilization of machine learning algorithms

H Al-Mimi, NA Hamad… - 2023 10th International …, 2023 - ieeexplore.ieee.org
The Probe attack is one of the most perilous kinds of cyberattacks since its primary objective
is to get knowledge on the vulnerabilities of the target network. In the course of this research …

Enhanced Aho-Corasick Algorithm for Network Intrusion Detection Systems

M Fayez, A Abbas, H Khaled… - International Journal of …, 2024 - ijicis.journals.ekb.eg
The exponential growth in internet data usage has created a pressing demand for highly
efficient Network Intrusion Detection Systems (NIDS) capable of scaling with ever-increasing …

[PDF][PDF] Proposed Hybrid Ensemble Learning Algorithms for an Efficient Intrusion Detection System

DN Mhawi, SH Hashem - IRAQI JOURNAL OF COMPUTERS …, 2022 - iasj.net
Due to sophisticated cyber-attacks, and to produce false alarms on suspicious or unusual
behavior to monitor computer resources, Intrusion Detection Systems (IDSs) are required …