Software defined networking for internet of things: review, techniques, challenges, and future directions

MA Al-Shareeda, AA Alsadhan, HH Qasim… - Bulletin of Electrical …, 2024 - beei.org
Security networks as one of the biggest issue for network managers with the exponential
growth of devices connected to the internet. Keeping a big and diverse network running …

[HTML][HTML] Why would telecom customers continue to use mobile value-added services?

MM Al-Debei, YK Dwivedi, O Hujran - Journal of Innovation & Knowledge, 2022 - Elsevier
This study seeks to explain why telecom customers would continue to use mobile value-
added services (MVAS), including information, communication, entertainment, and …

IoT vulnerabilities and attacks: SILEX malware case study

BI Mukhtar, MS Elsayed, AD Jurcut, MA Azer - Symmetry, 2023 - mdpi.com
The Internet of Things (IoT) is rapidly growing and is projected to develop in future years.
The IoT connects everything from Closed Circuit Television (CCTV) cameras to medical …

A privacy and energy-aware federated framework for human activity recognition

AR Khan, HU Manzoor, F Ayaz, MA Imran, A Zoha - Sensors, 2023 - mdpi.com
Human activity recognition (HAR) using wearable sensors enables continuous monitoring
for healthcare applications. However, the conventional centralised training of deep learning …

Fedbranched: Leveraging federated learning for anomaly-aware load forecasting in energy networks

HU Manzoor, AR Khan, D Flynn, MM Alam, M Akram… - Sensors, 2023 - mdpi.com
Increased demand for fast edge computation and privacy concerns have shifted researchers'
focus towards a type of distributed learning known as federated learning (FL). Recently …

Toward smart community networks

G Gemmi, L Cerdà-Alabern, L Navarro… - IEEE network, 2023 - ieeexplore.ieee.org
The advent of IEEE 802.11 in the late 1990s spurred the development of new network
paradigms. In particular, new technology enthusiasts saw the potential of WiFi to bring …

Cuckoo-Store Engine: A Reed–Solomon Code-Based Ledger Storage Optimization Scheme for Blockchain-Enabled IoT

J Yang, W Jia, Z Gao, Z Guo, Y Zhou, Z Pan - Electronics, 2023 - mdpi.com
As the distributed ledger technology underlying cryptocurrencies such as Bitcoin and
Ethereum, blockchain has empowered various industries, such as supply chain …

A random access scheme for federated learning over massive MIMO systems

H Han, J Zhao, X Zhou - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
In this article, we present a random access (RA) scheme for federated learning (FL) over
massive multiple-input–multiple-output (MIMO) systems to tackle the issue of some local …

Consumer IoT device deployment optimisation through deep learning: a CNN-LSTM solution for traffic classification and service identification

I Chakour, S Mhammedi, C Daoui… - … Journal of Ad Hoc …, 2024 - inderscienceonline.com
The internet of things (IoT) has revolutionised our world, connecting devices and creating a
more intelligent and interconnected environment. However, managing and utilising the vast …

Enhanced Adversarial Attack Resilience in Energy Networks through Energy and Privacy Aware Federated Learning

HU Manzoor, K Arshad, K Assaleh, A Zoha - Authorea Preprints, 2024 - techrxiv.org
The integration of artificial intelligence (AI) into energy networks significantly advanced short-
term forecasting, particularly in smart meter applications. However, as distributed energy …