FedBlockHealth: A Synergistic Approach to Privacy and Security in IoT-Enabled Healthcare through Federated Learning and Blockchain

no code implementations • 16 Apr 2023 • Nazar Waheed, Ateeq Ur Rehman, Anushka Nehra, Mahnoor Farooq, Nargis Tariq, Mian Ahmad Jan, Fazlullah Khan, Abeer Z. Alalmaie, Priyadarsi Nanda

Traditional approaches need to ensure security and privacy while maintaining computational efficiency, particularly for resource-constrained IoT devices.

Computational Efficiency Federated Learning

Security and Privacy in IoT Using Machine Learning and Blockchain: Threats & Countermeasures

no code implementations • 10 Feb 2020 • Nazar Waheed, Xiangjian He, Muhammad Ikram, Saad Sajid Hashmi, Muhammad Usman

In this paper, we provide a summary of research efforts made in the past few years, starting from 2008 to 2019, addressing security and privacy issues using ML algorithms and BCtechniques in the IoT domain.

BIG-bench Machine Learning