[HTML][HTML] Unleashing the power of internet of things and blockchain: A comprehensive analysis and future directions

A Rejeb, K Rejeb, A Appolloni, S Jagtap… - Internet of Things and …, 2024 - Elsevier
As the fusion of the Internet of Things (IoT) and blockchain technology advances, it is
increasingly shaping diverse fields. The potential of this convergence to fortify security …

[HTML][HTML] Securing wireless sensor networks using machine learning and blockchain: A review

S Ismail, DW Dawoud, H Reza - Future Internet, 2023 - mdpi.com
As an Internet of Things (IoT) technological key enabler, Wireless Sensor Networks (WSNs)
are prone to different kinds of cyberattacks. WSNs have unique characteristics, and have …

[HTML][HTML] Blockchain-assisted machine learning with hybrid metaheuristics-empowered cyber attack detection and classification model

A Albakri, B Alabdullah, F Alhayan - Sustainability, 2023 - mdpi.com
Cyber attack detection is the process of detecting and responding to malicious or
unauthorized activities in networks, computer systems, and digital environments. The …

Federated Deep Reinforcement Learning for Efficient Jamming Attack Mitigation in O-RAN

Z Abou El Houda, H Moudoud… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Open RAN (ORAN or O-RAN) revolutionizes Radio Access Networks (RAN) by offering
flexibility and cost-efficiency through inter-vendor equipment interoperability. More …

[HTML][HTML] Towards a lightweight security framework using blockchain and machine learning

S Ismail, M Nouman, DW Dawoud, H Reza - Blockchain: Research and …, 2024 - Elsevier
Cyber-attacks pose a significant challenge to the security of Internet of Things (IoT) sensor
networks, necessitating the development of robust countermeasures tailored to their unique …

Mapping of soil erosion susceptibility using advanced machine learning models at Nghe An, Vietnam

C Quyet Nguyen, T Thi Tran… - Journal of …, 2024 - iwaponline.com
Abstract Soil Erosion Susceptibility Mapping (SESM) is one of the practical approaches for
managing and mitigating soil erosion. This study applied four Machine Learning (ML) …

Blockchain transaction deanonymization using ensemble learning

R Saxena, D Arora, V Nagar, BK Chaurasia - Multimedia Tools and …, 2024 - Springer
Bitcoin is a digital currency that provides a way to transact without any trusted intermediary;
however, privacy is an issue. Numerous deanonymization endeavors have been proposed …

A blockchain and stacked machine learning approach for malicious nodes' detection in internet of things

S Musa Baig, MU Javed, A Almogren, N Javaid… - Peer-to-Peer Networking …, 2023 - Springer
Abstract The Internet of Things (IoT) network is extremely useful in many different fields, such
as smart cities, the military, healthcare, business, and agriculture, among others. The …

[HTML][HTML] Automated Sensor Node Malicious Activity Detection with Explainability Analysis

M Zubair, H Janicke, A Mohsin, L Maglaras, IH Sarker - Sensors, 2024 - mdpi.com
Cybersecurity has become a major concern in the modern world due to our heavy reliance
on cyber systems. Advanced automated systems utilize many sensors for intelligent decision …

[HTML][HTML] Multi-Task Learning for PBFT Optimisation in permissioned Blockchains

K Riahi, A Abouaissa, L Idoumghar - Blockchain: Research and …, 2024 - Elsevier
Finance, supply chain, healthcare, and energy have an increasing demand for secure
transactions and data exchange. Permissioned blockchains fulfilled this need thanks to the …