Artificial Intelligence Powered Comprehensive Cyber-Security for Smart Healthcare Systems (AIPOSH)
Project Introduction
This project provides a comprehensive cyber-security platform with AI powered hardware-software oriented solutions for IoT-based smart healthcare systems, toward a technology roadmap for ASEAN countries in the field. Also, ML/DL techniques developed in this project to solve emerging cyber-security issues could open up new AI powered applications and create new added values for products as well as the society.
Project Members
* Project Leader
| Project Members | |
|---|---|
| Full Name | Department, Institution, Country |
| Van Phuc Hoang * | Le Quy Don Technical University, Vietnam |
| Van Trung Nguyen | Le Quy Don Technical University, Vietnam |
| Norrathep Rattanavipanon | Prince of Songkla University (PSU), Thailand |
| Ngoc Tuan Do | Le Quy Don Technical University, Vietnam |
| Van Tuan Luu | Le Quy Don Technical University, Vietnam |
| Quang Kien Trinh | Le Quy Don Technical University, Vietnam |
| Nga Dao Thi | Le Quy Don Technical University, Vietnam |
| Takeshi Takahashi | National Institute of Information and Communications Technology, Japan |
| Kong Phutphalla | Cambodia Academy of Digital Technology, Cambodia |
| Lay Vathna | Cambodia Academy of Digital Technology, Cambodia |
| Lay Puthineath | Cambodia Academy of Digital Technology, Cambodia |
| Bah Hwee Gwee | Nanyang Technological University, Singapore |
| Kuljaree Tantayakul | Prince of Songkla University, Thailand |
| Cong-Kha Pham | University of Electro-Communications, Tokyo, Japan |
| Kazuo Sakiyama | University of Electro-Communications, Tokyo, Japan |
| Trong Thuc Hoang | University of Electro-Communications, Tokyo, Japan |
| Thai Ha Tran | University of Electro-Communications, Tokyo, Japan |
- Project Reviews and Information
- Project Introduction[PDF 723KB]
- 2023 progress report[PDF 2.51MB]
- 2024 project review[PDF 3.09MB]
- Conference Reports and Presentations
- Conference Report[PDF 749KB]
- IEEE 16th MCSoC 2023 Final Program[PDF 773KB]
- IEEE 16th MCSo - Revealing Secret Key from Low Success Rate Deep Learning-Based Side Channel Attacks[PDF 2.30MB]
- 2024 IEEE Internatinal Workshop on Technologies for Defense and Security (2024 IEEE TechDefense) - Conference Report[PDF 288KB]
- 2024 IEEE Internatinal Workshop on Technologies for Defense and Security (2024 IEEE TechDefense) - Programme[PDF 8.54MB]
- 2024 IEEE Internatinal Workshop on Technologies for Defense and Security (2024 IEEE TechDefense) - Presentation[PDF 1.74MB]
- Project meetings, field trips, tests etc. reports
- Workshop June 2024 report (DOCX 2.4 MB)
- November 2023 workshop report (DOCX 2.6 MB)
- July 2024 workshop report (DOCX 2.6mb)
- July 2025 Workshop report[PDF 1.09MB]