[HTML][HTML] A Fast Anti-Jamming Algorithm Based on Imitation Learning for WSN

W Zhou, Z Zhou, Y Niu, Q Zhou, H Ding - Sensors, 2023 - mdpi.com
Wireless sensor networks (WSNs), integral components underpinning the infrastructure of
the internet of things (IoT), confront escalating threats originating from attempts at malicious …

Defeating proactive jammers using deep reinforcement learning for resource-constrained IoT networks

AS Ali, S Naser, S Muhaidat - 2023 IEEE 34th Annual …, 2023 - ieeexplore.ieee.org
Traditional anti-jamming techniques like spread spectrum, adaptive power/rate control, and
cognitive radio, have demonstrated effectiveness in mitigating jamming attacks. However …

Intelligent anti-jamming communication for wireless sensor networks: A multi-agent reinforcement learning approach

Q Zhou, Y Li, Y Niu - IEEE Open Journal of the …, 2021 - ieeexplore.ieee.org
In this article, we investigate intelligent anti-jamming communication method for wireless
sensor networks. The stochastic game framework is introduced to model and analyze the …

Machine learning-based jamming detection in wireless IoT networks

B Upadhyaya, S Sun, B Sikdar - 2019 IEEE VTS Asia Pacific …, 2019 - ieeexplore.ieee.org
Jamming is a well known threat to the wireless community which is becoming a crucial issue
with the rise of security-critical applications. The design of a jamming detection mechanism …

“jam me if you can:” defeating jammer with deep dueling neural network architecture and ambient backscattering augmented communications

N Van Huynh, DN Nguyen, DT Hoang… - IEEE Journal on …, 2019 - ieeexplore.ieee.org
With conventional anti-jamming solutions like frequency hopping or spread spectrum,
legitimate transceivers often tend to “escape” or “hide” themselves from jammers. These …

A novel algorithm of joint frequency–power domain anti-jamming based on PER-DQN

B Wan, Y Niu, C Chen, Z Zhou, P Xiang - Neural Computing and …, 2023 - Springer
In order to improve the reliability of wireless communication systems under a malicious
jamming environment, a novel anti-jamming algorithm based on PER-DQN which can reach …

Deceiving Reactive Jamming in Dynamic Wireless Sensor Networks: A Deep Reinforcement Learning Based Approach

C Zhang, T Mao, Z Xiao, R Liu… - GLOBECOM 2023-2023 …, 2023 - ieeexplore.ieee.org
A reactive jamming attack, which performs spec-trum jamming only during legal signal
transmission based on the knowledge of sensor behaviors, poses a significant threat to …

Jamming detection in IoT wireless networks: An edge-AI based approach

A Hussain, N Abughanam, J Qadir… - Proceedings of the 12th …, 2022 - dl.acm.org
Wireless enabling technologies in critical infrastructures are increasing the efficiency of
communications. In the era of 5G and beyond, more technologies will be allowed to connect …

Intra-domain knowledge reuse assisted reinforcement learning for fast anti-jamming communication

Q Zhou, Y Niu, P Xiang, Y Li - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The novel technology based on reinforcement learning (RL) is considered as a promising
direction to achieve cognitive and even intelligent anti-jamming communication. However …

[HTML][HTML] Anti-Jamming Communication Using Slotted Cross Q Learning

Y Niu, Z Zhou, Z Pu, B Wan - Electronics, 2023 - mdpi.com
Most of the existing intelligent anti-jamming communication algorithms model sensing,
learning, and transmission as a serial process, and ideally assume that the duration of …