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 …

Blockchain-enabled federated learning: A survey

Y Qu, MP Uddin, C Gan, Y Xiang, L Gao… - ACM Computing …, 2022 - dl.acm.org
Federated learning (FL) has experienced a boom in recent years, which is jointly promoted
by the prosperity of machine learning and Artificial Intelligence along with emerging privacy …

Federated learning for intrusion detection system: Concepts, challenges and future directions

S Agrawal, S Sarkar, O Aouedi, G Yenduri… - Computer …, 2022 - Elsevier
The rapid development of the Internet and smart devices trigger surge in network traffic
making its infrastructure more complex and heterogeneous. The predominated usage of …

FBI: A federated learning-based blockchain-embedded data accumulation scheme using drones for Internet of Things

A Islam, A Al Amin, SY Shin - IEEE Wireless Communications …, 2022 - ieeexplore.ieee.org
This letter presents a federated learning-basd data-accumulation scheme that combines
drones and blockchain for remote regions where Internet of Things devices face network …

Securing federated learning with blockchain: a systematic literature review

A Qammar, A Karim, H Ning, J Ding - Artificial Intelligence Review, 2023 - Springer
Federated learning (FL) is a promising framework for distributed machine learning that trains
models without sharing local data while protecting privacy. FL exploits the concept of …

Blockchain-based federated learning methodologies in smart environments

D Li, Z Luo, B Cao - Cluster Computing, 2022 - Springer
Blockchain technology is an undeniable ledger technology that stores transactions in high-
security chains of blocks. Blockchain can solve security and privacy issues in a variety of …

Blockchain for securing ai applications and open innovations

R Shinde, S Patil, K Kotecha, K Ruikar - Journal of Open Innovation …, 2021 - mdpi.com
Nowadays, open innovations such as intelligent automation and digitalization are being
adopted by every industry with the help of powerful technology such as Artificial Intelligence …

Two-phase defense against poisoning attacks on federated learning-based intrusion detection

YC Lai, JY Lin, YD Lin, RH Hwang, PC Lin, HK Wu… - Computers & …, 2023 - Elsevier
Abstract The Machine Learning-based Intrusion Detection System (ML-IDS) becomes more
popular because it doesn't need to manually update the rules and can recognize variants …

[Retracted] AFLPC: An Asynchronous Federated Learning Privacy‐Preserving Computing Model Applied to 5G‐V2X

J Huang, C Xu, Z Ji, S Xiao, T Liu… - Security and …, 2022 - Wiley Online Library
Federated learning can effectively protect local data privacy in 5G‐V2X environment and
ensure data protection in Internet of vehicles environment. The advantages of low delay of …

[HTML][HTML] Quantum-empowered federated learning and 6G wireless networks for IoT security: Concept, challenges and future directions

D Javeed, MS Saeed, I Ahmad, M Adil, P Kumar… - Future Generation …, 2024 - Elsevier
Abstract The Internet of Things (IoT) has revolutionized various sectors by enabling
seamless device interaction. However, the proliferation of IoT devices has also raised …