Blockchain-based federated learning for securing internet of things: A comprehensive survey

W Issa, N Moustafa, B Turnbull, N Sohrabi… - ACM Computing …, 2023 - dl.acm.org
The Internet of Things (IoT) ecosystem connects physical devices to the internet, offering
significant advantages in agility, responsiveness, and potential environmental benefits. The …

[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 …

The impact of adversarial attacks on federated learning: A survey

KN Kumar, CK Mohan… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Federated learning (FL) has emerged as a powerful machine learning technique that
enables the development of models from decentralized data sources. However, the …

Federated learning of explainable AI models in 6G systems: Towards secure and automated vehicle networking

A Renda, P Ducange, F Marcelloni, D Sabella… - Information, 2022 - mdpi.com
This article presents the concept of federated learning (FL) of eXplainable Artificial
Intelligence (XAI) models as an enabling technology in advanced 5G towards 6G systems …

Deep federated learning-based threat detection model for extreme satellite communications

S Salim, N Moustafa, M Hassanian… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Satellite communications (Satcoms), whether ground-to-space or intersatellite, have, to date,
primarily combined the two cutting-edge fields of communication and space, in which …

Privacy-Preserving Data-Driven Learning Models for Emerging Communication Networks: A Comprehensive Survey

MM Fouda, ZM Fadlullah, MI Ibrahem… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
With the proliferation of Beyond 5G (B5G) communication systems and heterogeneous
networks, mobile broadband users are generating massive volumes of data that undergo …

Blockchain‐Based Secure Localization against Malicious Nodes in IoT‐Based Wireless Sensor Networks Using Federated Learning

GG Gebremariam, J Panda… - … and mobile computing, 2023 - Wiley Online Library
Wireless sensor networks are the core of the Internet of Things and are used in healthcare,
locations, the military, and security. Threats to the security of wireless sensor networks built …

Data analytics of social media 3.0: Privacy protection perspectives for integrating social media and Internet of Things (SM-IoT) systems

S Salim, B Turnbull, N Moustafa - Ad Hoc Networks, 2022 - Elsevier
With the rapid evolution of web technologies, Web 3.0 aims to expand on current and
emerging social media platforms such as Facebook, Twitter, and TikTok, and integrate …

Trustworthy federated learning: A survey

A Tariq, MA Serhani, F Sallabi, T Qayyum… - arXiv preprint arXiv …, 2023 - arxiv.org
Federated Learning (FL) has emerged as a significant advancement in the field of Artificial
Intelligence (AI), enabling collaborative model training across distributed devices while …

Blockchain-based crypto management for reliable real-time decision-making

G Wang, J Li, X Wang, J Li, Y Yuan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Crypto management is proposed to tackle the management decision-making challenges
under data asymmetry and trust asymmetry that cannot be solved merely by technical …