11 citations · 20 across the 25 of their papers we have counts for
9 papers · 1 filter
Distance-Only Task Orchestration Algorithm for Energy Efficiency in Satellite-Based Mist Computing
Messaoud Babaghayou, Noureddine Chaib, Leandros Maglaras +2
This paper addresses the challenge of efficiently offloading heavy computing tasks from ground mobile devices to the satellite-based mist computing environment. With ground-based e…
Reliability Analysis of Fault Tolerant Memory Systems
Yagmur Yigit, Leandros Maglaras, Mohamed Amine Ferrag +2
This paper delves into a comprehensive analysis of fault-tolerant memory systems, focusing on recovery techniques modeled using Markov chains to address transient errors. The study…
ESASCF: Expertise Extraction, Generalization and Reply Framework for an Optimized Automation of Network Security Compliance
Mohamed C. Ghanem, Thomas M. Chen, Mohamed A. Ferrag +1
The Cyber threats exposure has created worldwide pressure on organizations to comply with cyber security standards and policies for protecting their digital assets. Vulnerability a…
SecureFalcon: Are We There Yet in Automated Software Vulnerability Detection with LLMs?
Mohamed Amine Ferrag, Ammar Battah, Norbert Tihanyi +8
Software vulnerabilities can cause numerous problems, including crashes, data loss, and security breaches. These issues greatly compromise quality and can negatively impact the mar…
The FormAI Dataset: Generative AI in Software Security Through the Lens of Formal Verification
Norbert Tihanyi, Tamas Bisztray, Ridhi Jain +3
This paper presents the FormAI dataset, a large collection of 112, 000 AI-generated compilable and independent C programs with vulnerability classification. We introduce a dynamic…
Revolutionizing Cyber Threat Detection with Large Language Models: A privacy-preserving BERT-based Lightweight Model for IoT/IIoT Devices
Mohamed Amine Ferrag, Mthandazo Ndhlovu, Norbert Tihanyi +4
The field of Natural Language Processing (NLP) is currently undergoing a revolutionary transformation driven by the power of pre-trained Large Language Models (LLMs) based on groun…