most citedThe impact of mobility, beam sweeping and smart jammers on security vulnerabilities of 5G cells

4 citations · 5 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CR20244 cited

The impact of mobility, beam sweeping and smart jammers on security vulnerabilities of 5G cells

Ghazal Asemian, Michel Kulhandjian, Mohammadreza Amini +3

The vulnerability of 5G networks to jamming attacks has emerged as a significant concern. This paper contributes in two primary aspects. Firstly, it investigates the effect of a mu…

cs.NI2024

A New Realistic Platform for Benchmarking and Performance Evaluation of DRL-Driven and Reconfigurable SFC Provisioning Solutions

Murat Arda Onsu, Poonam Lohan, Burak Kantarci +2

Service Function Chain (SFC) provisioning stands as a pivotal technology in the realm of 5G and future networks. Its essence lies in orchestrating VNFs (Virtual Network Functions)…

cs.CR2024

Bypassing a Reactive Jammer via NOMA-Based Transmissions in Critical Missions

Mohammadreza Amini, Ghazal Asemian, Michel Kulhandjian +3

Wireless networks can be vulnerable to radio jamming attacks. The quality of service under a jamming attack is not guaranteed and the service requirements such as reliability, late…

eess.SP2024

Deep Dict: Deep Learning-based Lossy Time Series Compressor for IoT Data

Jinxin Liu, Petar Djukic, Michel Kulhandjian +1

We propose Deep Dict, a deep learning-based lossy time series compressor designed to achieve a high compression ratio while maintaining decompression error within a predefined rang…

cs.CV2024

Rethinking Detection Based Table Structure Recognition for Visually Rich Document Images

Bin Xiao, Murat Simsek, Burak Kantarci +1

Table Structure Recognition (TSR) is a widely discussed task aiming at transforming unstructured table images into structured formats, such as HTML sequences, to make text-only mod…

cs.NI2024

Adversarial Machine Learning-Enabled Anonymization of OpenWiFi Data

Samhita Kuili, Kareem Dabbour, Irtiza Hasan +4

Data privacy and protection through anonymization is a critical issue for network operators or data owners before it is forwarded for other possible use of data. With the adoption…