A deep learning-based intrusion detection system for MQTT enabled IoT

MA Khan, MA Khan, SU Jan, J Ahmad, SS Jamal… - Sensors, 2021 - mdpi.com
A large number of smart devices in Internet of Things (IoT) environments communicate via
different messaging protocols. Message Queuing Telemetry Transport (MQTT) is a widely …

A review of spectrum sensing in modern cognitive radio networks

MU Muzaffar, R Sharqi - Telecommunication Systems, 2024 - Springer
Cognitive radio network (CRN) is a pioneering technology that was developed to improve
efficiency in spectrum utilization. It provides the secondary users with the privilege to …

Machine learning for LTE energy detection performance improvement

M Wasilewska, H Bogucka - Sensors, 2019 - mdpi.com
The growing number of radio communication devices and limited spectrum resources are
drivers for the development of new techniques of dynamic spectrum access and spectrum …

Spectrum sensing by higher-order SVM-based detection

A Coluccia, A Fascista, G Ricci - 2019 27th European Signal …, 2019 - ieeexplore.ieee.org
A novel spectrum sensing algorithm based on support vector machine is proposed. The idea
is to map the received signals into a multi-dimensional feature space obtained from well …

Machine Learning for Spectrum Sharing: A Survey

FRV Guimarães, JMB da Silva Jr… - … and Trends® in …, 2024 - nowpublishers.com
Abstract The 5th generation (5G) of wireless systems is being deployed with the aim to
provide many sets of wireless communication services, such as low data rates for a massive …

An overview of cooperative spectrum sensing based on machine learning techniques

C Gattoua, O Chakkor, F Aytouna - 2020 IEEE 2nd International …, 2020 - ieeexplore.ieee.org
Cognitive Radio is an intelligent wireless communication system able of learning from the
environment. It allows reusing of the radio resources available by users called Secondary …

Artificial intelligence for radio communication context-awareness

M Wasilewska, A Kliks, H Bogucka, K Cichoń… - IEEE …, 2021 - ieeexplore.ieee.org
This paper surveys Artificial Intelligence (AI) methods for acquiring and managing context-of-
operation awareness of radio communication nodes, links, and networks. The meaning and …

Learning-based cooperative spectrum sensing in hybrid underlay-interweave secondary networks

NA Khalek, W Hamouda - GLOBECOM 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
In this paper, a cooperative Secondary Network (SN) is proposed that operates under a
hybrid underlay-interweave model. The narrowband sensing problem under the interweave …

Comparative study of SVM and KNN machine learning algorithm for spectrum sensing in cognitive radio

T Tamilselvi, V Rajendran - … and Virtual Mobile Networks: Proceedings of …, 2022 - Springer
The fast growth of wireless technology in today's scenario has paved huge demand for
licenced and unlicenced frequencies of the spectrum. Cognitive radio will be useful for this …

Supervised Learning Spectrum Sensing Method via Geometric Power Feature

Q Hu, Z Luo, W Xiao - Electronics, 2023 - mdpi.com
In order to improve the spectrum sensing (SS) performance under a low Signal Noise Ratio
(SNR), this paper proposes a supervised learning spectrum sensing method based on …