Top-down machine learning-based architecture for cyberattacks identification and classification in IoT communication networks
Q Abu Al-Haija - Frontiers in big Data, 2022 - frontiersin.org
With the prompt revolution and emergence of smart, self-reliant, and low-power devices,
Internet of Things (IoT) has inconceivably expanded and impacted almost every real-life …
Internet of Things (IoT) has inconceivably expanded and impacted almost every real-life …
IoT intrusion detection using machine learning with a novel high performing feature selection method
The Internet of Things (IoT) ecosystem has experienced significant growth in data traffic and
consequently high dimensionality. Intrusion Detection Systems (IDSs) are essential self …
consequently high dimensionality. Intrusion Detection Systems (IDSs) are essential self …
Boost‐Defence for resilient IoT networks: A head‐to‐toe approach
Abstract The Internet of Things (IoT) is an emerging technology that is considered a key
enabler for next‐generation smart cities, industries, security services and economies. IoT …
enabler for next‐generation smart cities, industries, security services and economies. IoT …
Attack-Aware IoT network traffic routing leveraging ensemble learning
Q Abu Al-Haija, A Al-Badawi - Sensors, 2021 - mdpi.com
Network Intrusion Detection Systems (NIDSs) are indispensable defensive tools against
various cyberattacks. Lightweight, multipurpose, and anomaly-based detection NIDSs …
various cyberattacks. Lightweight, multipurpose, and anomaly-based detection NIDSs …
High performance classification model to identify ransomware payments for heterogeneous bitcoin networks
QA Al-Haija, AA Alsulami - Electronics, 2021 - mdpi.com
The Bitcoin cryptocurrency is a worldwide prevalent virtualized digital currency
conceptualized in 2008 as a distributed transactions system. Bitcoin transactions make use …
conceptualized in 2008 as a distributed transactions system. Bitcoin transactions make use …
[HTML][HTML] Cost-effective detection system of cross-site scripting attacks using hybrid learning approach
QA Al-Haija - Results in Engineering, 2023 - Elsevier
Abstract Cross-Site Scripting (XSS) attacks inject malicious code payloads into web
application logs, triggering stored cross-site scripting execution when accessing the view …
application logs, triggering stored cross-site scripting execution when accessing the view …
Next-generation cyber attack prediction for IoT systems: leveraging multi-class SVM and optimized CHAID decision tree
Billions of gadgets are already online, making the IoT an essential aspect of daily life.
However, the interconnected nature of IoT devices also leaves them open to cyber threats …
However, the interconnected nature of IoT devices also leaves them open to cyber threats …
Multi-class weather classification using ResNet-18 CNN for autonomous IoT and CPS applications
QA Al-Haija, MA Smadi… - 2020 International …, 2020 - ieeexplore.ieee.org
Severe circumstances of outdoor weather might have a significant influence on the road
traffic. However, the early weather condition warning and detection can provide a significant …
traffic. However, the early weather condition warning and detection can provide a significant …
Detecting port scan attacks using logistic regression
QA Al-Haija, E Saleh… - 2021 4th International …, 2021 - ieeexplore.ieee.org
Port scanning attack is a common cyber-attack where an attacker directs packets with
diverse port numbers to scan accessible services aiming to discover open/weak ports in a …
diverse port numbers to scan accessible services aiming to discover open/weak ports in a …
Robust genetic machine learning ensemble model for intrusion detection in network traffic
MA Akhtar, SMO Qadri, MA Siddiqui, SMN Mustafa… - Scientific Reports, 2023 - nature.com
Network security has developed as a critical research subject as a result of the Rapid
advancements in the development of Internet and communication technologies over the …
advancements in the development of Internet and communication technologies over the …