Browsing UiS Brage by Author "Dalveren, Yaser"
Now showing items 1-5 of 5
-
Deployment and Implementation Aspects of Radio Frequency Fingerprinting in Cybersecurity of Smart Grids
Awan, Maaz Ali; Dalveren, Yaser; Catak, Ferhat Özgur; Kara, Ali (Peer reviewed; Journal article, 2023)Smart grids incorporate diverse power equipment used for energy optimization in intelligent cities. This equipment may use Internet of Things (IoT) devices and services in the future. To ensure stable operation of smart ... -
Flexible and Lightweight Mitigation Framework for Distributed Denial-of-Service Attacks in Container-Based Edge Networks using Kubernetes
Koksal, Sarp; Catak, Ferhat Özgur; Dalveren, Yaser (Peer reviewed; Journal article, 2024)Mobile Edge Computing (MEC) has a significant potential to become more prevalent in Fifth Generation (5G) networks, requiring resource management that is lightweight, agile, and dynamic. Container-based virtualization ... -
Modelling and Design of Pre-Equalizers for a Fully Operational Visible Light Communication System
Bostanoglu, Murat; Dalveren, Yaser; Catak, Ferhat Özgur; Kara, Ali (Peer reviewed; Journal article, 2023-06)Nowadays, Visible Light Communication (VLC) has gained much attention due to the significant advancements in Light Emitting Diode (LED) technology. However, the bandwidth of LEDs is one of the important concerns that limits ... -
On the Performance of Energy Criterion Method in Wi-Fi Transient Signal Detection
Mohamed, Ismail; Dalveren, Yaser; Catak, Ferhat Özgur; Kara, Ali (Peer reviewed; Journal article, 2022-01)In the development of radiofrequency fingerprinting (RFF), one of the major challenges is to extract subtle and robust features from transmitted signals of wireless devices to be used in accurate identification of possible ... -
Radar Emitter Localization Based on Multipath Exploitation Using Machine Learning
Catak, Ferhat Özgur; Imran, Md Abdullah Al; Dalveren, Yaser; Yildiz, Beytullah; Kara, Ali (Peer reviewed; Journal article, 2024)In this study, a Machine Learning (ML)-based approach is proposed to enhance the computational efficiency of a particular method that was previously proposed by the authors for passive localization of radar emitters based ...