69 citations · 70 across the 5 of their papers we have counts for
5 papers
Building a Robust Risk-Based Access Control System to Combat Ransomware's Capability to Encrypt
Kenan Begovic, Abdulaziz Al-Ali, Qutaibah Malluhi
Ransomware core capability, unauthorized encryption, demands controls that identify and block malicious cryptographic activity without disrupting legitimate use. We present a proba…
Exploiting ftrace's function_graph Tracer Features for Machine Learning: A Case Study on Encryption Detection
Kenan Begovic, Abdulaziz Al-Ali, Qutaibah Malluhi
This paper proposes using the Linux kernel ftrace framework, particularly the function graph tracer, to generate informative system level data for machine learning (ML) application…
Uncovering Privacy Vulnerabilities through Analytical Gradient Inversion Attacks
Tamer Ahmed Eltaras, Qutaibah Malluhi, Alessandro Savino +2
Federated learning has emerged as a prominent privacy-preserving technique for leveraging large-scale distributed datasets by sharing gradients instead of raw data. However, recent…
A Blackbox Model Is All You Need to Breach Privacy: Smart Grid Forecasting Models as a Use Case
Hussein Aly, Abdulaziz Al-Ali, Abdullah Al-Ali +1
This paper investigates the potential privacy risks associated with forecasting models, with specific emphasis on their application in the context of smart grids. While machine lea…
Cryptographic ransomware encryption detection: Survey
Kenan Begovic, Abdulaziz Al-Ali, Qutaibah Malluhi
The ransomware threat has loomed over our digital life since 1989. Criminals use this type of cyber attack to lock or encrypt victims' data, often coercing them to pay exorbitant a…