Title: "Trustfedhealth: Federated Learning With Homomorphic Encryption And Blockchain For Heart Disease Prediction In The Smart Healthcare"
Link: https://uithcm-my.sharepoint.com/personal/20520173_m...
Bui Tan Hai Dang (Talent - Information Security 2020)
Phan Huu Luan (High Quality - Information Security 2020.1)
Vuong Dinh Thanh Ngan (High Quality - Information Security 2020.1)
Supervisors:
MSc. Phan The Duy
Dr. Pham Van Hau
Abstract:
In recent years, the advancements in the Internet of Medical Things (IoMT) or smart devices have enabled the
automatic monitoring of human health. Using smart healthcare devices can not only reduce the burden on hospitals but also save costs, travel time, and provide a way to diagnose diseases at home, such as stroke rates. The IoMT generates a large amount of data, which can be used to train machine learning (ML) models for accurate disease diagnosis. However, the data used to train ML models is usually private, making it chal[1]lenging to share and requiring high security. To overcome this challenge, this paper proposes a collaborative framework called TrustFedHealth for training ML-based heart disease prediction models. TrustFedHealth uses Federated Learning (FL) to allow training with decentralized data stored separately on multiple machines. Moreover, Mobile Edge Computing (MEC) is incor[1]porated into the model as a solution to optimize communication time between the different elements of the system and reduce congestion. Homomorphic Encryption (HE) is also combined with FL to protect the confidentiality of model updates between clients and aggregation servers. Additionally, Blockchain (BC) is leveraged to tackle the traceability of contributions and guarantee transparency of model updates. Through evaluation results on the Physionet’s MIT-BIH Arrhythmia Dataset, TrustFedHealth provides a promising approach for training ML-based heart disease prediction models while maintaining privacy and security.
We express our gratitude to MSc. Phan The Duy, a lecturer from the Faculty of Computer Networks and Communications, for his dedicated assistance and support during our research.
The International Conference on Advanced Technologies for Communications (ATC) is an annual in-depth scientific conference in the fields of electronics, communications, information technology, and related areas. The conference opens up opportunities for exchanges, sharing research results, technology transfer, and introducing products of businesses operating in these fields. The conference was first organized in 2008 and attracts over 200 papers and around 150 scientists from various countries worldwide annually. The International ATC Conference is organized collaboratively by universities, social-professional organizations, and corporations and enterprises in the fields of electronics, communications, and information technology. In 2023, the ATC conference is hosted in Da Nang City, Vietnam from October 19th to 21st, 2023, organized by the University of Information Technology and Communications - Vietnam-Korea.
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Hai Bang - Media Collaborator, University of Information Technology
Nhat Hien - Translation Collaborator, University of Information Technology
