Name: Double Trouble: Twins' Take on File Encryption and Face Recognition
Start: 2025-04-10T13:00:00-0300
End: 2025-04-10T13:45:00-0300

Thursday April 10, 2025 1:00pm - 1:45pm ADT

Argyle Suite 1

This presentation will focus on two different aspects through an exploration of projects that we have done using python: encryption and decryption of files with passwords, and using face recognition to secure these sensitive data.

With reference to my own project of encryption and decryption, I will be demonstrating how this technology is related to the field of cybersecurity and how it can effectively protect sensitive files and important information. I will be discussing the potential threats that ordinary methods of data handling can face in today’s digital society, including risks with data breaches and unauthorized access. In exploring the encryption techniques, I will provide a comprehensive overview of the AES, highlighting its significance in protecting data and improving security. I will further describe its symmetric key structure which transforms these files into texts that remain unreadable when trying to open it. Furthermore, I will describe potential methods to improve the security exchange of keys and make this a smooth process for the user. Such a method can be related to facial recognition and that will make the process smoother while allowing the user to give access to the intended receivers of the file.

Drawing from my experience of building a face authentication system using OpenCV and RetinaFace models, I will demonstrate how this technology can effectively enhance security. I will discuss the principles of face authentication and its role in society to make authentication process more convenient, challenges that are currently faced in this technology, especially how my identical twin brother and I are considered the same person in both Apple’s system and the project I built, and ethical considerations and improvements on it. I will explore potential methods to improve security and time, such as refining deep learning models to better distinguish between similar facial features, especially using dataset on people who look alike. Such systems should be developed responsibly to be incorporated in the world for better usage.

Speakers

Jialin (Daniel) Liu

Student

Jialin (Daniel) Liu is a grade 11 student studying at the Halifax Grammar School, who has participated in multiple competitions in cybersecurity and computer science. First, I have participated in the CyberPatriot (Cyber Titan) since grade 10, placing in gold division in grade 10... Read More →

Jiaqi (Andy) Liu

Student

I, Jiaqi (Andy) Liu, am a grade 11 student at Halifax Grammar School. I began coding when I was nine years old and have since gained proficiency in programming languages such as C++, Java, and Python. Additionally, I am skilled in web development technologies, including JavaScript... Read More →

Thursday April 10, 2025 1:00pm - 1:45pm ADT
Argyle Suite 1

Track 2

ATLSECCON 2025

Jialin (Daniel) Liu

Jiaqi (Andy) Liu

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