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 …

[HTML][HTML] TNN-IDS: Transformer neural network-based intrusion detection system for MQTT-enabled IoT Networks

S Ullah, J Ahmad, MA Khan, MS Alshehri, W Boulila… - Computer Networks, 2023 - Elsevier
Abstract The Internet of Things (IoT) is a global network that connects a large number of
smart devices. MQTT is a de facto standard, lightweight, and reliable protocol for machine-to …

[PDF][PDF] A hybrid deep learning-based intrusion detection system for IoT networks

NW Khan, MS Alshehri, MA Khan, S Almakdi… - Math. Biosci …, 2023 - aimspress.com
The Internet of Things (IoT) is a rapidly evolving technology with a wide range of potential
applications, but the security of IoT networks remains a major concern. The existing system …

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 …

[PDF][PDF] Multi-step attack detection in industrial networks using a hybrid deep learning architecture

MH Jamal, MA Khan, S Ullah, MS Alshehri… - Mathematical …, 2023 - aimspress.com
In recent years, the industrial network has seen a number of high-impact attacks. To counter
these threats, several security systems have been implemented to detect attacks on …

[HTML][HTML] Evaluating ensemble learning mechanisms for predicting advanced cyber attacks

F Alserhani, A Aljared - Applied Sciences, 2023 - mdpi.com
With the increased sophistication of cyber-attacks, there is a greater demand for effective
network intrusion detection systems (NIDS) to protect against various threats. Traditional …

[PDF][PDF] Enhancing IoT network defense: advanced intrusion detection via ensemble learning techniques

S Hajla, E Ennaji, Y Maleh… - Indonesian Journal of …, 2024 - researchgate.net
The Internet of Things (IoT) has evolved significantly, automating daily activities by
connecting numerous devices. However, this growth has increased cybersecurity threats …

Recurrent Neural Network based Incremental model for Intrusion Detection System in IoT

H Sharma, P Kumar, K Sharma - Scalable Computing: Practice and …, 2024 - scpe.org
The security of Internet of Things (IoT) networks has become a integral problem in view of
the exponential growth of IoT devices. Intrusion detection and prevention is an approach …

Real-time human activity recognition from smart phone using linear support vector machines

K Maaloul, L Brahim… - … Electronics and Control), 2023 - telkomnika.uad.ac.id
The recognition of human activity (HAR) the use of cell devices embedded in its exten sively
disbursed sensors affords guidance, instructions, and take care of citizens of smart cities …

Enhance the Detection of DoS and Brute Force Attacks within the MQTT Environment through Feature Engineering and Employing an Ensemble Technique

AA Hanif, M Ilyas - arxiv preprint arxiv:2408.00480, 2024 - arxiv.org
The rapid development of the Internet of Things (IoT) environment has introduced
unprecedented levels of connectivity and automation. The Message Queuing Telemetry …