From 5G to 6G Networks, a Survey on AI-Based Jamming and Interference Detection and Mitigation

P Lohan, B Kantarci, MA Ferrag… - IEEE Open Journal of …, 2024 - ieeexplore.ieee.org
Fifth-generation and Beyond (5GB) networks are transformational technologies to
revolutionize future wireless communications in terms of massive connectivity, higher …

Physical-layer Jammer Detection in Multi-hop IoT Networks

M Abdollahi, K Malekinasab, W Tu… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
The presence of a jammer in an Internet of Things (IoT) network severely degrades all
communication efforts between adjacent wireless devices. The situation is getting worse due …

Overview of Mobile Attack Detection and Prevention Techniques Using Machine Learning.

AK Al Hwaitat, HN Fakhouri… - … of Interactive Mobile …, 2024 - search.ebscohost.com
In light of the increasing sophistication and frequency of mobile attacks, there is a growing
demand for advanced intelligent techniques capable of offering comprehensive mobile …

Federated learning-enabled smart jammer detection in terrestrial and non-terrestrial heterogeneous joint sensing and communication networks

H Bouzabia, A Meftah… - IEEE Communications …, 2024 - ieeexplore.ieee.org
In this paper, we propose a novel federated learning (FL) framework for detecting smart
jamming in heterogeneous joint sensing and communication within terrestrial and non …

Detecting 5G Signal Jammers Using Spectrograms with Supervised and Unsupervised Learning

M Varotto, S Valentin, S Tomasin - arXiv preprint arXiv:2405.10331, 2024 - arxiv.org
Cellular networks are potential targets of jamming attacks to disrupt wireless
communications. Since the fifth generation (5G) of cellular networks enables mission-critical …

One-Class Classification as GLRT for Jamming Detection in Private 5G Networks

M Varotto, S Valentin, F Ardizzon, S Marzotto… - arXiv preprint arXiv …, 2024 - arxiv.org
5G mobile networks are vulnerable to jamming attacks that may jeopardize valuable
applications such as industry automation. In this paper, we propose to analyze radio signals …

Data mining for predictive analysis in gynecology: a focus on cervical health.

L Andrade-Arenas, I Rubio-Paucar… - … Journal of Electrical …, 2024 - search.ebscohost.com
Currently, data mining based on the application of detection of important patterns that allow
making decisions according to cervical cancer is a problem that affects women from the age …

Detecting 5G Narrowband Jammers with CNN, k-nearest Neighbors, and Support Vector Machines

M Varotto, F Heinrichs, T Schuerg, S Tomasin… - arXiv preprint arXiv …, 2024 - arxiv.org
5G cellular networks are particularly vulnerable against narrowband jammers that target
specific control sub-channels in the radio signal. One mitigation approach is to detect such …

Intelligent Power Estimation of Communication Interference in the Presence of Alpha-Stable Noise

J Lang, M Liu, L Jin - 2023 IEEE 23rd International Conference …, 2023 - ieeexplore.ieee.org
In the present age, wireless communication systems are affected by various communication
interference signals from the outside world. By estimating the parameters of communication …

Interpretable Caa Classification Based on Incorporating Feature Channel Attention into Lstm

Y Hou, X Wei, C Wang, J Fan - Available at SSRN 4826825 - papers.ssrn.com
The open and broadcast nature of wireless medium make them prone to different types of
channel access attacks (CAA), ranging from constant jamming to protocol manipulation …