[HTML][HTML] Cybersecurity, data privacy and blockchain: A review

V Wylde, N Rawindaran, J Lawrence… - SN computer …, 2022 - Springer
In this paper, we identify and review key challenges to bridge the knowledge-gap between
SME's, companies, organisations, businesses, government institutions and the general …

[HTML][HTML] A literature survey on AI-aided beamforming and beam management for 5G and 6G systems

DS Brilhante, JC Manjarres, R Moreira… - Sensors, 2023 - mdpi.com
Modern wireless communication systems rely heavily on multiple antennas and their
corresponding signal processing to achieve optimal performance. As 5G and 6G networks …

Defensive distillation-based adversarial attack mitigation method for channel estimation using deep learning models in next-generation wireless networks

FO Catak, M Kuzlu, E Catak, U Cali, O Guler - IEEE Access, 2022 - ieeexplore.ieee.org
Future wireless networks (5G and beyond), also known as Next Generation or NextG, are
the vision of forthcoming cellular systems, connecting billions of devices and people …

[HTML][HTML] Security concerns on machine learning solutions for 6G networks in mmWave beam prediction

FO Catak, M Kuzlu, E Catak, U Cali, D Unal - Physical Communication, 2022 - Elsevier
Abstract 6G–sixth generation–is the latest cellular technology currently under development
for wireless communication systems. In recent years, machine learning (ML) algorithms have …

Adversarial security mitigations of mmWave beamforming prediction models using defensive distillation and adversarial retraining

M Kuzlu, FO Catak, U Cali, E Catak, O Guler - International Journal of …, 2023 - Springer
The design of a security scheme for beamforming prediction is critical for next-generation
wireless networks (5G, 6G, and beyond). However, there is no consensus about protecting …

[HTML][HTML] A Review of Fundamental Optimization Approaches and the Role of AI Enabling Technologies in Physical Layer Security

MK Tefera, Z Jin, S Zhang - Sensors, 2022 - mdpi.com
With the proliferation of 5G mobile networks within next-generation wireless communication,
the design and optimization of 5G networks are progressing in the direction of improving the …

On Assessing Vulnerabilities of the 5G Networks to Adversarial Examples

M Zolotukhin, P Miraghaei, D Zhang… - IEEE Access, 2022 - ieeexplore.ieee.org
The use of artificial intelligence and machine learning is recognized as the key enabler for
5G mobile networks which would allow service providers to tackle the network complexity …

Security and privacy concerns in next-generation networks using artificial intelligence-based solutions: A potential use case

M Kuzlu, FO Catak, Y Zhao, S Sarp, E Catak - Wireless Networks: Cyber …, 2023 - Springer
Next-generation communication networks (NextG or 5G and beyond) have become more
essential to be able to realize cutting-edge applications, such as autonomous cars, mobile …

[HTML][HTML] On attacking future 5g networks with adversarial examples: Survey

M Zolotukhin, D Zhang, T Hämäläinen, P Miraghaei - Network, 2022 - mdpi.com
The introduction of 5G technology along with the exponential growth in connected devices is
expected to cause a challenge for the efficient and reliable network resource allocation …

[HTML][HTML] Optimization of Drone Base Station Location for the Next-Generation Internet-of-Things Using a Pre-Trained Deep Learning Algorithm and NOMA

H Alsolai, W Mtouaa, MS Maashi, M Othman, I Yaseen… - Mathematics, 2023 - mdpi.com
Next-generation Internet-of-Things applications pose challenges for sixth-generation (6G)
mobile networks, involving large bandwidth, increased network capabilities, and remarkably …