Transfer learning promotes 6G wireless communications: Recent advances and future challenges

M Wang, Y Lin, Q Tian, G Si - IEEE Transactions on Reliability, 2021 - ieeexplore.ieee.org
In the coming 6G communications, network densification, high throughput, positioning
accuracy, energy efficiency, and many other key performance indicator requirements are …

Deep reinforcement learning for cyber security

TT Nguyen, VJ Reddi - IEEE Transactions on Neural Networks …, 2021 - ieeexplore.ieee.org
The scale of Internet-connected systems has increased considerably, and these systems are
being exposed to cyberattacks more than ever. The complexity and dynamics of …

A survey on machine learning techniques for cyber security in the last decade

K Shaukat, S Luo, V Varadharajan, IA Hameed… - IEEE …, 2020 - ieeexplore.ieee.org
Pervasive growth and usage of the Internet and mobile applications have expanded
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …

Spectrum sensing for cognitive radio: Recent advances and future challenge

A Nasser, H Al Haj Hassan, J Abou Chaaya… - Sensors, 2021 - mdpi.com
Spectrum Sensing (SS) plays an essential role in Cognitive Radio (CR) networks to
diagnose the availability of frequency resources. In this paper, we aim to provide an in-depth …

Reinforcement learning for iot security: A comprehensive survey

A Uprety, DB Rawat - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
The number of connected smart devices has been increasing exponentially for different
Internet-of-Things (IoT) applications. Security has been a long run challenge in the IoT …

Spectrum sensing, clustering algorithms, and energy-harvesting technology for cognitive-radio-based internet-of-things networks

X Fernando, G Lăzăroiu - Sensors, 2023 - mdpi.com
The aim of this systematic review was to identify the correlations between spectrum sensing,
clustering algorithms, and energy-harvesting technology for cognitive-radio-based internet …

A comprehensive survey on machine learning approaches for dynamic spectrum access in cognitive radio networks

A Kaur, K Kumar - Journal of Experimental & Theoretical Artificial …, 2022 - Taylor & Francis
Due to exponential growth in demand for radio spectrum for wireless communication
networking, the radio spectrum has become over-crowded. The fixed spectrum allocation …

RL-IoT: Reinforcement learning-based routing approach for cognitive radio-enabled IoT communications

TS Malik, KR Malik, A Afzal, M Ibrar… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Internet of Things (IoT) devices are widely being used in various smart applications and
being equipped with cognitive radio (CR) capabilities for dynamic spectrum allocation. Our …

ConvLSTMConv network: a deep learning approach for sentiment analysis in cloud computing

M Ghorbani, M Bahaghighat, Q Xin, F Özen - Journal of Cloud Computing, 2020 - Springer
The rapid development of social media, and special websites with critical reviews of
products have created a huge collection of resources for customers all over the world. These …

Towards designing a trusted routing scheme in wireless sensor networks: A new deep blockchain approach

IA Abd El-Moghith, SM Darwish - IEEE Access, 2021 - ieeexplore.ieee.org
Routing is a critical process in Wireless Sensor Networks (WSNs) since it is responsible for
data transmission to base stations. Routing attacks are capable of completely destroying …