Student Research

Student Research

Demetrio Deanda, BS-CS student​ at TAMUSA​, co-authored the paper entitled "Defending mutation-based adversarial text perturbation: a black-box approach​" alongside PAACS member  Prof. Izzat Alsmadi, Jesus Guerrero & Gongbo Liang, recently published in the Cluster Computing journal.

Remah Younisse, a Doctoral student at Princess Sumayya University for Science and Technology (PSUT)​, and supervised by PAACS member Prof. Mouhammd Alkasassbeh, co-authored the article "SGID: A Semi-Synthetic Dataset for Injection Attacks in Smart Grid Systems​"​, in the 2024 15th International Conference on Information and Communication Systems (ICICS).  The paper addressed Smart grids which while improving electricity service through advanced metering and digital transfer, face increasing security vulnerabilities, particularly malicious data injection.  Her study created a semi-synthetic dataset, combining real normal smart meter readings with various forms of synthetically generated malicious data (SGID). Machine learning models demonstrate the ability to effectively detect and differentiate this injected intrusive data from normal operational data.
 
​Rama Al-Attar, a Master student at Princess Sumayya University for Science and Technology (PSUT)​, and supervised by PAACS member Prof. Mouhammd Alkasassbeh, co-authored the article "A Survey: Soft Computing for Anomaly Detection to Mitigate IoT Abuse". The paper studied the Internet of Things (IoT)  and the global rise in IoT devices which introduced significant challenges, particularly in ensuring their security. And since traditional security measures like authentication, authorization, and encryption have become inadequate, this paper examined and compared recent studies that focus on developing anomaly-based intrusion detection models using the IoTID20 dataset. The analysis highlights advancements and approaches in addressing IoT security concerns.




Adarsha Sigdel, a Master student at Charles Darwin University, and supervized by A/Prof. Mamoun Alazab has pubished the chapter entitled "Intelligent authentication system using graphical one-time passwords" in the book "Artificial Intelligence for Biometrics and Cybersecurity: Technology and applications​". His study explored graphical authentication as a viable solution, leveraging the human ability to recall visual and positional information. It introduced a graphical one-time-password (OTP) scheme, where users select and remember four picture passwords from a 4×4 matrix and enter their coordinates for authentication. The proposed system, designed to resist common attacks like shoulder-surfing and dictionary attacks, was analyzed for security, memorability, and usability, demonstrating its potential as a secure replacement for alphanumeric passwords.