All Outputs (4)

PULRAS: A Novel PUF-Based Lightweight Robust Authentication Scheme (2024)
Conference Proceeding
Yaqub, Z., Yigit, Y., Maglaras, L., Tan, Z., & Wooderson, P. (in press). PULRAS: A Novel PUF-Based Lightweight Robust Authentication Scheme.

In the rapidly evolving landscape of Intelligent Transportation Systems (ITS), Vehicular Ad-hoc Networks (VANETs) play a critical role in enhancing road safety and traffic flow. However, VANETs face significant security and privacy challenges due to... Read More about PULRAS: A Novel PUF-Based Lightweight Robust Authentication Scheme.

Reliability Analysis of Fault Tolerant Memory Systems (2023)
Conference Proceeding
Yigit, Y., Maglaras, L., Amine Ferrag, M., Moradpoor, N., & Lambropoulos, G. (2023). Reliability Analysis of Fault Tolerant Memory Systems. In 2023 8th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM). https://doi.org/10.1109/SEEDA-CECNSM61561.2023.10470763

This paper delves into a comprehensive analysis of fault-tolerant memory systems, focusing on recovery techniques modelled using Markov chains to address transient errors. The study revolves around the application of scrubbing methods in conjunction... Read More about Reliability Analysis of Fault Tolerant Memory Systems.

Digital Twin-Empowered Smart Attack Detection System for 6G Edge of Things Networks (2023)
Conference Proceeding
Yigit, Y., Chrysoulas, C., Yurdakul, G., Maglaras, L., & Canberk, B. (2023). Digital Twin-Empowered Smart Attack Detection System for 6G Edge of Things Networks. In 2023 IEEE Globecom Workshops (GC Wkshps). https://doi.org/10.1109/GCWkshps58843.2023.10465218

As global Internet of Things (IoT) devices connectivity surges, a significant portion gravitates towards the Edge of Things (EoT) network. This shift prompts businesses to deploy infrastructure closer to end-users, enhancing accessibility. However, t... Read More about Digital Twin-Empowered Smart Attack Detection System for 6G Edge of Things Networks.

Enhancing Mac OS Malware Detection through Machine Learning and Mach-O File Analysis (2023)
Conference Proceeding
Thaeler, A., Yigit, Y., Maglaras, L. A., Buchanan, B., Moradpoor, N., & Russell, G. (in press). Enhancing Mac OS Malware Detection through Machine Learning and Mach-O File Analysis. In 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)