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The teams from TeamQ - Wanna.W1n club participated in the semifinals of the Information Technology field at the 2023 Eureka Scientific Research Student Awards with four scientific research projects.

These projects were presented by the students while they were working in research teams at the Information Security Department, demonstrating their high applicability in various IT-related problems and specifically in the field of information security.

On the afternoon of October 24, the semifinals in the Information Technology field took place at the VNUHCM - University of Science.

A total of 105 projects were showcased in the Information Technology category, with 271 participants from 40 universities nationwide.

The scientific council engaged directly with participants from schools in Ho Chi Minh City and connected online with contestants from universities across the country. They selected the most outstanding projects to advance to the finals. The results of the semifinals will be announced by the organizing committee in the near future.

The list of four projects from TeamQ - Wanna.W1n competing in the EUREKA 2023 semifinals:

Project Title: De-smarthealthcare - a solution for sharing electronic health records using blockchain-based interactive chain technology.

Team Members: Võ Anh Kiệt; Nguyễn Bùi Kim Ngân; Nguyễn Bình Thục Trâm; Lê Trần Thùy Trang; Trần Đức Minh

Vote for the project here:

https://www.facebook.com/photo/?fbid=313253714792170&set=a.313290561455152

 

Project Title: Detection method for fraudulent websites based on deep multi-modal learning to evade pattern recognition

Team Members: Võ Quang Minh; Bùi Tấn Hải Đăng; Trần Kim Ngọc Ngân

Vote for the project here:

https://www.facebook.com/photo/?fbid=313254368125438&set=a.313290561455152

 

Project Title: Detection method for binary code similarities in programs based on deep learning in software security

Team Members: Nguyễn Hùng Thịnh; Nguyễn Phúc Hải; Trần Đình Khoa; Lê Trần Thành Nhân

Vote for the project here:

https://www.facebook.com/photo/?fbid=313258078125067&set=a.313290561455152

 

Project Title: Identifying security vulnerabilities in web3 smart contracts based on multi-modal deep learning and natural language processing models

Team Members: Lê Công Trình; Trịnh Minh Hoàng; Vũ Trung Kiên; Đào Đức Vũ

Vote for the project here:

https://www.facebook.com/photo/?fbid=313259191458289&set=a.313290561455152

Detailed Information:

https://www.facebook.com/inseclab/posts/pfbid02d6FggKf24EcZxxNzWtxDHdSeZJyv1BZeP7tMfjesaGiB8kKMwnbv22SxrHBiuiWAl

Hạ Băng - Communications Collaborator, University of Information Technology

English version: Phan Huy Hoang

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