School of Electronic Engineering and Computer Science

EECS Student Publishes MSc Dissertation in IEEE Consumer Electronics Magazine

EECS MSc student, Muhammed Golec, has published his MSc dissertation in IEEE Consumer Electronics Magazine (Q1 Journal with IF: 4.016). 

Published:

Muhammed's dissertation explored developing a Biometric Authentication Framework for secure and private communication among edge devices to be applied to the Internet of Things and the wider industry.

Muhammed said:

"The publication of my master's thesis in a IEEE Journal, which is a much-respected institution in its field, is an important turning point in my academic career. In addition, having an academic publication in doctoral applications both facilitates acceptance and increases the academic visibility of the publisher.

It was a very useful experience for me to learn the research publication procedure, as it was the first publication I made academically.

Finally, I would like to thank my supervisor, Dr. Sukhpal Singh Gill, for his technical and moral support throughout my research."

Publication Abstract:

With the rapid increase in the usage areas of Internet of Things (IoT) devices, it brings challenges such as security and privacy. One way to ensure these in IoT-based systems is user authentication. Until today, user authentication is provided by traditional methods such as pin and token-based.

But traditional methods have challenges such as forgotten, stolen, and shared with another user who is unauthorized. To address these challenges, we proposed a biometric method called BioSec to provide authentication in IoT integrated with edge consumer electronics using fingerprint authentication.

Further, we ensured the security of biometric data both in the transmission channel and database with the standard encryption method. BioSec ensures secure and private communication among edge devices in IoT and Industry 4.0.

Finally, we have compared three encryption methods used to protect biometric templates in terms of processing times and identified that AES-128-bit key encryption method outperforms others.

Publication Details

Muhammed Golec, Sukhpal Singh Gill, Rami Bahsoon, Omer Rana, BioSec: A Biometric Authentication Framework for Secure and Private Communication among Edge Devices in IoT and Industry 4.0, IEEE Consumer Electronics Magazine, 2020. DOI: https://doi.org/10.1109/MCE.2020.3038040

Read the full publication here: https://ieeexplore.ieee.org/document/9259018