Intrusion detection for IoT devices based on RF fingerprinting using deep learning

J Bassey, D Adesina, X Li, L Qian… - … Conference on Fog …, 2019 - ieeexplore.ieee.org
Internet of Things (IoT) and 4G/5G wireless networks have added huge number of devices
and new services, where commercial-of-the-shelf (COTS) IoT devices have been deployed …

Deep predictive coding neural network for RF anomaly detection in wireless networks

N Tandiya, A Jauhar, V Marojevic… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
Intrusion detection has become one of the most critical tasks in a wireless network to prevent
service outages that can take long to fix. The sheer variety of anomalous events necessitates …

Device authentication codes based on RF fingerprinting using deep learning

J Bassey, X Li, L Qian - arXiv preprint arXiv:2004.08742, 2020 - arxiv.org
In this paper, we propose Device Authentication Code (DAC), a novel method for
authenticating IoT devices with wireless interface by exploiting their radio frequency (RF) …

Spectrum anomalies autonomous detection in cognitive radio using hidden markov models

W Honghao, J Yunfeng, W Lei - 2015 IEEE advanced …, 2015 - ieeexplore.ieee.org
The precisely detection of electromagnetic spectrum anomaly is important and crucial for
increasing demand on spectrum security, especially in the condition of complex …

[PDF][PDF] 基于MES 频谱数据异常贡献度估计与后验分析

张继丹, 肖东, 侯燕曦 - Journal of terahertz science and electronic …, 2022 - researching.cn
近些年, 基于大数据分析模型的风险度量和控制方法研究变得越来越重要,
而风险度量模型的后验分析研究能够保障和检验所用分析技术在实际数据分析中的有效性 …

[HTML][HTML] Unsupervised spectrum anomaly detection method for unauthorized bands

Y Tian, H Liao, J Xu, Y Wang, S Yuan… - Space: Science & …, 2022 - spj.science.org
With the rapid development of wireless communication, spectrum plays increasingly
important role in both military and civilian fields. Spectrum anomaly detection aims at …

[HTML][HTML] Unsupervised Interpolation Recovery Method for Spectrum Anomaly Detection and Localization

Y Huang, S Yuan, N Liu, Q Li, W Liang… - Space: Science & …, 2023 - spj.science.org
With the growing efficiency of the use of unlicensed spectrum, the challenge of ensuring
spectrum security has become increasingly daunting. Spectrum managers aim to accurately …

[PDF][PDF] 基于时间序列分析的频谱异常自主检测和稳健估计方法

王磊, 谢树果, 苏东林, 王国玉 - 电子学报, 2014 - ejournal.org.cn
复杂电磁环境和无用频先验知识条件下有效检测电磁频谱异常使用信息, 是无线电监测和电磁
环境评估等领域的重要难题. 本文基于时间序列分析理论, 通过构建反映有限频谱占用度序列 …

[PDF][PDF] Deep Learning Empowered Unsupervised Contextual Information Extraction and its applications in Communication Systems

K Gusain - 2022 - vtechworks.lib.vt.edu
There has been a rapid growth in the amount of data produced by wireless systems. With the
advancements in 5G technologies, it has become essential to process this data efficiently …

A novel spectrum occupancy anomaly detection method based on time series analysis theory

W Lei, X Shuguo - 2012 IEEE International Workshop on …, 2012 - ieeexplore.ieee.org
Efficient spectrum management and dynamic spectrum access networks heavily rely on
accurate statistics of spectrum utilization and temporal behaviour modelling of spectrum …