Design and development of RNN anomaly detection model for IoT networks

I Ullah, QH Mahmoud - IEEE Access, 2022 - ieeexplore.ieee.org
Cybersecurity is important today because of the increasing growth of the Internet of Things
(IoT), which has resulted in a variety of attacks on computer systems and networks. Cyber …

Machine-learning-based darknet traffic detection system for IoT applications

Q Abu Al-Haija, M Krichen, W Abu Elhaija - Electronics, 2022 - mdpi.com
The massive modern technical revolution in electronics, cognitive computing, and sensing
has provided critical infrastructure for the development of today's Internet of Things (IoT) for a …

lIDS-SIoEL: intrusion detection framework for IoT-based smart environments security using ensemble learning

C Hazman, A Guezzaz, S Benkirane, M Azrour - Cluster Computing, 2023 - Springer
Smart cities are being enabled all around the world by Internet of Things (IoT) applications.
A smart city idea necessitates the integration of information and communication …

ELBA-IoT: An ensemble learning model for botnet attack detection in IoT networks

Q Abu Al-Haija, M Al-Dala'ien - Journal of Sensor and Actuator Networks, 2022 - mdpi.com
Due to the prompt expansion and development of intelligent systems and autonomous,
energy-aware sensing devices, the Internet of Things (IoT) has remarkably grown and …

DDoS attack prevention for internet of thing devices using ethereum blockchain technology

RF Ibrahim, Q Abu Al-Haija, A Ahmad - Sensors, 2022 - mdpi.com
The Internet of Things (IoT) has widely expanded due to its advantages in enhancing the
business, industrial, and social ecosystems. Nevertheless, IoT infrastructure is susceptible to …

Ensemble-learning framework for intrusion detection to enhance internet of things' devices security

Y Alotaibi, M Ilyas - Sensors, 2023 - mdpi.com
The Internet of Things (IoT) comprises a network of interconnected nodes constantly
communicating, exchanging, and transferring data over various network protocols. Studies …

Towards an efficient model for network intrusion detection system (IDS): systematic literature review

OH Abdulganiyu, TA Tchakoucht, YK Saheed - Wireless Networks, 2024 - Springer
With the recent rise in internet usage, the volume of crucial, private, and confidential data
traveling online has increased. Attackers have made attempts to break into the network due …

An intrusion detection and classification system for IoT traffic with improved data engineering

AA Alsulami, Q Abu Al-Haija, A Tayeb, A Alqahtani - Applied Sciences, 2022 - mdpi.com
Nowadays, the Internet of Things (IoT) devices and applications have rapidly expanded
worldwide due to their benefits in improving the business environment, industrial …

A cloud based optimization method for zero-day threats detection using genetic algorithm and ensemble learning

M Nkongolo, JP Van Deventer, SM Kasongo, SR Zahra… - Electronics, 2022 - mdpi.com
This article presents a cloud-based method to classify 0-day attacks from a novel dataset
called UGRansome1819. The primary objective of the research is to classify potential …

A lightweight double-stage scheme to identify malicious DNS over HTTPS traffic using a hybrid learning approach

Q Abu Al-Haija, M Alohaly, A Odeh - Sensors, 2023 - mdpi.com
The Domain Name System (DNS) protocol essentially translates domain names to IP
addresses, enabling browsers to load and utilize Internet resources. Despite its major role …