most citedBlockchain-based Federated Learning with Secure Aggregation in Trusted Execution Environment for Internet-of-Things

160 citations · 372 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR202333 cited

Smart Policy Control for Securing Federated Learning Management System

Aditya Pribadi Kalapaaking, Ibrahim Khalil, Mohammed Atiquzzaman

The widespread adoption of Internet of Things (IoT) devices in smart cities, intelligent healthcare systems, and various real-world applications have resulted in the generation of…

cs.CR20236 cited

Blockchain-based Access Control for Secure Smart Industry Management Systems

Aditya Pribadi Kalapaaking, Ibrahim Khalil, Mohammad Saidur Rahman +1

Smart manufacturing systems involve a large number of interconnected devices resulting in massive data generation. Cloud computing technology has recently gained increasing attenti…

cs.CR2023113 cited

Blockchain-based Federated Learning with SMPC Model Verification Against Poisoning Attack for Healthcare Systems

Aditya Pribadi Kalapaaking, Ibrahim Khalil, Xun Yi

Due to the rising awareness of privacy and security in machine learning applications, federated learning (FL) has received widespread attention and applied to several areas, e.g.,…

cs.CR202360 cited

SMPC-based Federated Learning for 6G enabled Internet of Medical Things

Aditya Pribadi Kalapaaking, Veronika Stephanie, Ibrahim Khalil +3

Rapidly developing intelligent healthcare systems are underpinned by Sixth Generation (6G) connectivity, ubiquitous Internet of Things (IoT), and Deep Learning (DL) techniques. Thi…

cs.CR2023160 cited

Blockchain-based Federated Learning with Secure Aggregation in Trusted Execution Environment for Internet-of-Things

Aditya Pribadi Kalapaaking, Ibrahim Khalil, Mohammad Saidur Rahman +3

This paper proposes a blockchain-based Federated Learning (FL) framework with Intel Software Guard Extension (SGX)-based Trusted Execution Environment (TEE) to securely aggregate l…