|
An Adaptive Learning-Based Attack Detection Technique for Mitigating Primary User Emulation in Cognitive Radio Networks
|
journal
|
April 2019 |
|
Efficient attack strategy for legitimate energy-powered eavesdropping in tactical cognitive radio networks
|
journal
|
February 2019 |
|
Detecting Byzantine attack in cognitive radio networks using machine learning
|
journal
|
July 2020 |
|
Defense against primary user emulation attackers based on adaptive Bayesian learning automata in cognitive radio networks
|
journal
|
May 2020 |
|
Distributed cooperative spectrum sensing based on reinforcement learning in cognitive radio networks
|
journal
|
September 2018 |
|
Stackelberg game based relay selection for physical layer security and energy efficiency enhancement in cognitive radio networks
|
journal
|
March 2017 |
|
Mitigating eavesdropping by using fuzzy based MDPOP-Q learning approach and multilevel Stackelberg game theoretic approach in wireless CRN
|
journal
|
December 2018 |
|
Energy enhancement using Multiobjective Ant colony optimization with Double Q learning algorithm for IoT based cognitive radio networks
|
journal
|
March 2020 |
|
NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey
|
journal
|
September 2006 |
|
Security in Cognitive Radio Network: Defense against Primary User Emulation attacks using Genetic Artificial Bee Colony (GABC) algorithm
|
journal
|
August 2020 |
|
Cognitive Radio Jamming Mitigation using Markov Decision Process and Reinforcement Learning
|
journal
|
January 2015 |
|
Will 5G lead to more spectrum sharing? Discussing recent developments of the LSA and the CBRS spectrum sharing frameworks
|
journal
|
August 2020 |
|
A comprehensive survey on machine learning approaches for dynamic spectrum access in cognitive radio networks
|
journal
|
October 2020 |
|
Cognitive radio: making software radios more personal
|
journal
|
January 1999 |
|
Byzantine Defense in Collaborative Spectrum Sensing via Bayesian Learning
|
journal
|
January 2017 |
|
Database-Assisted Spectrum Sharing in Satellite Communications: A Survey
|
journal
|
January 2017 |
|
RL-Budget: A Learning-Based Cluster Size Adjustment Scheme for Cognitive Radio Networks
|
journal
|
January 2018 |
|
Dynamic Spectrum Access With Physical Layer Security: A Game-Based Jamming Approach
|
journal
|
January 2018 |
|
Full Spectrum Sharing in Cognitive Radio Networks Toward 5G: A Survey
|
journal
|
January 2018 |
|
LTE-U and Wi-Fi Coexistence Algorithm Based on Q-Learning in Multi-Channel
|
journal
|
January 2018 |
|
Intelligent Power Control for Spectrum Sharing in Cognitive Radios: A Deep Reinforcement Learning Approach
|
journal
|
January 2018 |
|
QoE-Enabled Unlicensed Spectrum Sharing in 5G: A Game-Theoretic Approach
|
journal
|
January 2018 |
|
Channel Status Learning for Cooperative Spectrum Sensing in Energy-Restricted Cognitive Radio Networks
|
journal
|
January 2019 |
|
An Efficient Outsourced Privacy Preserving Machine Learning Scheme With Public Verifiability
|
journal
|
January 2019 |
|
Pattern-Aware Intelligent Anti-Jamming Communication: A Sequential Deep Reinforcement Learning Approach
|
journal
|
January 2019 |
|
Q-Learning Based Multi-Objective Clustering Algorithm for Cognitive Radio Ad Hoc Networks
|
journal
|
January 2019 |
|
Explainable Machine Learning for Scientific Insights and Discoveries
|
journal
|
January 2020 |
|
Comprehensive Survey of Machine Learning Approaches in Cognitive Radio-Based Vehicular Ad Hoc Networks
|
journal
|
January 2020 |
|
Cognitive radios: A survey on spectrum sensing, security and spectrum handoff
|
journal
|
November 2017 |
Detection of SSDF Attack Using SVDD Algorithm in Cognitive Radio Networks
- Farmani, F.; Abbasi-Jannatabad, M.; Berangi, R.
-
2011 3rd International Conference on Computational Intelligence, Communication Systems and Networks (CICSyN 2011), 2011 Third International Conference on Computational Intelligence, Communication Systems and Networks
https://doi.org/10.1109/CICSyN.2011.51
|
conference
|
July 2011 |
|
Competing Mobile Network Game: Embracing antijamming and jamming strategies with reinforcement learning
|
conference
|
October 2013 |
|
Privacy Protection and Efficient Incumbent Detection in Spectrum Sharing Based on Federated Learning
|
conference
|
June 2020 |
|
Byzantine Attack and Defense in Cognitive Radio Networks: A Survey
|
journal
|
October 2015 |
|
Licensed Spectrum Sharing Schemes for Mobile Operators: A Survey and Outlook
|
journal
|
January 2016 |
|
Ambient Backscatter Communications: A Contemporary Survey
|
journal
|
January 2018 |
|
Cognitive Decompiosition of Wirless Networks
|
conference
|
June 2006 |
|
Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting
|
conference
|
July 2018 |
|
Optimal Obfuscation Mechanisms via Machine Learning
|
conference
|
June 2020 |
|
A Machine Learning Algorithm for Unlicensed LTE and WiFi Spectrum Sharing
|
conference
|
October 2018 |
|
FaIR: Federated Incumbent Detection in CBRS Band
|
conference
|
November 2019 |
|
Possibility of Dynamic Spectrum Sharing System by VHF-band Radio Sensor and Machine Learning
|
conference
|
November 2019 |
|
Towards Intelligent IoT Networks: Reinforcement Learning for Reliable Backscatter Communications
|
conference
|
December 2019 |
|
Machine Learning-Assisted Detection for BPSK-Modulated Ambient Backscatter Communication Systems
|
conference
|
December 2019 |
|
Defense against PUE Attacks in DSA Networks Using GAN Based Learning
|
conference
|
December 2019 |
|
Deep Reinforcement Learning Based Relay Selection in Delay-Constrained Secure Buffer-Aided CRNs
|
conference
|
December 2020 |
|
Mitigating malicious attacks using Bayesian nonparametric clustering in collaborative cognitive radio networks
|
conference
|
December 2014 |
|
Location-oriented evolutionary games for spectrum sharing
|
conference
|
December 2014 |
|
Liquid State Machine Learning for Resource Allocation in a Network of Cache-Enabled LTE-U UAVs
|
conference
|
December 2017 |
|
Reinforcement Learning-Based Computing and Transmission Scheduling for LTE-U-Enabled IoT
|
conference
|
December 2018 |
|
Reinforcement Learning Approach for RF-Powered Cognitive Radio Network with Ambient Backscatter
|
conference
|
December 2018 |
|
On Radar Privacy in Shared Spectrum Scenarios
|
conference
|
May 2019 |
A game-theoretic view on the physical layer security of cognitive radio networks
- Houjeij, Ali; Saad, Walid; Bascar, Tamer
-
ICC 2013 - 2013 IEEE International Conference on Communications, 2013 IEEE International Conference on Communications (ICC)
https://doi.org/10.1109/ICC.2013.6654835
|
conference
|
June 2013 |
Generative Adversarial Learning for Spectrum Sensing
- Davaslioglu, Kemal; Sagduyu, Yalin E.
-
2018 IEEE International Conference on Communications (ICC 2018), 2018 IEEE International Conference on Communications (ICC)
https://doi.org/10.1109/ICC.2018.8422223
|
conference
|
May 2018 |
|
Reinforcement Learning for Interference Avoidance Game in RF-Powered Backscatter Communications
|
conference
|
May 2019 |
|
Machine Learning Based Signal Detection for Ambient Backscatter Communications
|
conference
|
May 2019 |
|
Jamming Pattern Recognition Using Spectrum Waterfall: A Deep Learning Method
|
conference
|
December 2019 |
|
Reinforcement learning based anti-jamming with wideband autonomous cognitive radios
|
conference
|
July 2016 |
|
Deep learning-based automated modulation classification for cognitive radio
|
conference
|
December 2016 |
|
Machine Learning Aided Channel Estimation for Ambient Backscatter Communication Systems
|
conference
|
December 2018 |
Three-layer Bayesian model based spectrum sensing to detect malicious attacks in cognitive radio networks
- Huo, Yongjia; Wang, Ying; Lin, Wenxuan
-
2015 ICC - 2015 IEEE International Conference on Communications Workshops (ICC), 2015 IEEE International Conference on Communication Workshop (ICCW)
https://doi.org/10.1109/ICCW.2015.7247415
|
conference
|
June 2015 |
|
Cooperative Spectrum Sensing Algorithm Based on Support Vector Machine against SSDF Attack
|
conference
|
May 2018 |
|
Adversarial Deep Learning for Cognitive Radio Security: Jamming Attack and Defense Strategies
|
conference
|
May 2018 |
|
Deep Reinforcement Learning Approach to QoE-Driven Resource Allocation for Spectrum Underlay in Cognitive Radio Networks
|
conference
|
May 2018 |
|
Ensemble Learning Based Robust Cooperative Sensing in Full-Duplex Cognitive Radio Networks
|
conference
|
June 2020 |
|
Jamming mitigation in cognitive radio networks using a modified Q-learning algorithm
|
conference
|
May 2015 |
|
Defeating Jamming Attacks with Ambient Backscatter Communications
|
conference
|
February 2020 |
|
Accurate Primary User Emulation Attack (PUEA) Detection in Cognitive Radio Network using KNN and ANN Classifier
|
conference
|
June 2020 |
|
Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning
|
conference
|
April 2019 |
|
Explore Recurrent Neural Network for PUE Attack Detection in Practical CRN Models
|
conference
|
September 2018 |
|
Throughput Maximization for Ambient Backscatter Communication: A Reinforcement Learning Approach
|
conference
|
March 2019 |
|
Exploiting Multiple Antennas for Cognitive Ambient Backscatter Communication
|
journal
|
February 2019 |
|
Security and Enforcement in Spectrum Sharing
|
journal
|
March 2014 |
|
Anti-Jamming Games in Multi-Channel Cognitive Radio Networks
|
journal
|
January 2012 |
|
Database-Assisted Distributed Spectrum Sharing
|
journal
|
November 2013 |
|
A Learning-Based QoE-Driven Spectrum Handoff Scheme for Multimedia Transmissions over Cognitive Radio Networks
|
journal
|
November 2014 |
|
Private and Truthful Aggregative Game for Large-Scale Spectrum Sharing
|
journal
|
February 2017 |
|
Constellation Learning-Based Signal Detection for Ambient Backscatter Communication Systems
|
journal
|
February 2019 |
|
“Jam Me If You Can:” Defeating Jammer With Deep Dueling Neural Network Architecture and Ambient Backscattering Augmented Communications
|
journal
|
November 2019 |
|
Spectrum Access In Cognitive Radio Using a Two-Stage Reinforcement Learning Approach
|
journal
|
February 2018 |
|
Anti-Jamming Communications Using Spectrum Waterfall: A Deep Reinforcement Learning Approach
|
journal
|
May 2018 |
|
Robust Deep Sensing Through Transfer Learning in Cognitive Radio
|
journal
|
January 2020 |
|
Ambient Backscatter: A Novel Method to Defend Jamming Attacks for Wireless Networks
|
journal
|
February 2020 |
|
Ambient Backscatter Communications for Future Ultra-Low-Power Machine Type Communications: Challenges, Solutions, Opportunities, and Future Research Trends
|
journal
|
February 2020 |
|
Defense against spectrum sensing data falsification attacks in mobile ad hoc networks with cognitive radios
|
conference
|
October 2009 |
|
Optimal Jamming using Delayed Learning
|
conference
|
October 2014 |
|
Spectrum Data Poisoning with Adversarial Deep Learning
|
conference
|
October 2018 |
|
On Safeguarding Privacy and Security in the Framework of Federated Learning
|
journal
|
July 2020 |
|
Securing Cognitive Radio Networks against Primary User Emulation Attacks
|
journal
|
November 2016 |
|
Enabling Secure Intelligent Network with Cloud-Assisted Privacy-Preserving Machine Learning
|
journal
|
May 2019 |
|
A communications jamming taxonomy
|
journal
|
January 2016 |
|
Federated Learning: Challenges, Methods, and Future Directions
|
journal
|
May 2020 |
|
Wearable Communications in 5G: Challenges and Enabling Technologies
|
journal
|
September 2018 |
|
Machine-Learning-Based Opportunistic Spectrum Access in Cognitive Radio Networks
|
journal
|
February 2020 |
|
Security and privacy of collaborative spectrum sensing in cognitive radio networks
|
journal
|
December 2012 |
|
A Survey of Advanced Techniques for Spectrum Sharing in 5G Networks
|
journal
|
October 2017 |
|
Spectrum Sharing for Internet of Things: A Survey
|
journal
|
June 2019 |
|
Transfer learning for device fingerprinting with application to cognitive radio networks
|
conference
|
August 2015 |
|
IoT Network Security from the Perspective of Adversarial Deep Learning
|
conference
|
June 2019 |
|
Multi-Efficiency Based Resource Allocation for Cognitive Radio Networks with Deep Learning
|
conference
|
July 2018 |
|
Secure and Energy-Efficient Offloading and Resource Allocation in a NOMA-Based MEC Network
|
conference
|
November 2020 |
|
SecureML: A System for Scalable Privacy-Preserving Machine Learning
|
conference
|
May 2017 |
|
A Survey on Security Threats and Detection Techniques in Cognitive Radio Networks
|
journal
|
April 2013 |
|
A Survey on Machine-Learning Techniques in Cognitive Radios
|
journal
|
October 2013 |
|
Location Privacy Preservation in Database-Driven Wireless Cognitive Networks Through Encrypted Probabilistic Data Structures
|
journal
|
June 2017 |
|
Thwarting Location Inference Attacks in Database-Driven Spectrum Sharing
|
journal
|
June 2018 |
|
A Reinforcement Learning-Based Trust Model for Cluster Size Adjustment Scheme in Distributed Cognitive Radio Networks
|
journal
|
March 2019 |
|
Enabling a “Use-or-Share” Framework for PAL–GAA Sharing in CBRS Networks via Reinforcement Learning
|
journal
|
September 2019 |
|
AI-Based Abnormality Detection at the PHY-Layer of Cognitive Radio by Learning Generative Models
|
journal
|
March 2020 |
|
Location-Oriented Evolutionary Games for Price-Elastic Spectrum Sharing
|
journal
|
September 2016 |
|
Ambient Backscatter: A New Approach to Improve Network Performance for RF-Powered Cognitive Radio Networks
|
journal
|
September 2017 |
|
Optimal and Low-Complexity Dynamic Spectrum Access for RF-Powered Ambient Backscatter System With Online Reinforcement Learning
|
journal
|
August 2019 |
|
Intelligent Sharing for LTE and WiFi Systems in Unlicensed Bands: A Deep Reinforcement Learning Approach
|
journal
|
May 2020 |
|
On Ensemble Learning-Based Secure Fusion Strategy for Robust Cooperative Sensing in Full-Duplex Cognitive Radio Networks
|
journal
|
October 2020 |
|
Harvest-or-Transmit Policy for Cognitive Radio Networks: A Learning Theoretic Approach
|
journal
|
December 2019 |
|
A Distributed Learning Automata Scheme for Spectrum Management in Self-Organized Cognitive Radio Network
|
journal
|
June 2017 |
|
Intelligent Spectrum Management Based on Transfer Actor-Critic Learning for Rateless Transmissions in Cognitive Radio Networks
|
journal
|
May 2018 |
|
Adversarial Deep Learning for Over-the-Air Spectrum Poisoning Attacks
|
journal
|
February 2021 |
|
Imperfect CSI Based Intelligent Dynamic Spectrum Management Using Cooperative Reinforcement Learning Framework in Cognitive Radio Networks
|
journal
|
May 2022 |
|
When Attackers Meet AI: Learning-Empowered Attacks in Cooperative Spectrum Sensing
|
journal
|
May 2022 |
|
Online Learning With Randomized Feedback Graphs for Optimal PUE Attacks in Cognitive Radio Networks
|
journal
|
October 2018 |
|
Optimizing Primary User Privacy in Spectrum Sharing Systems
|
journal
|
April 2020 |
|
Energy-Efficient Resource Allocation in Cognitive Radio Networks Under Cooperative Multi-Agent Model-Free Reinforcement Learning Schemes
|
journal
|
September 2020 |
|
Jamming-Resistant Multiradio Multichannel Opportunistic Spectrum Access in Cognitive Radio Networks
|
journal
|
October 2016 |
|
Optimal Spectrum Handoff Control for CRN Based on Hybrid Priority Queuing and Multi-Teacher Apprentice Learning
|
journal
|
March 2017 |
|
QoE Driven Decentralized Spectrum Sharing in 5G Networks: Potential Game Approach
|
journal
|
September 2017 |
|
A Game-Theoretic Approach for Fair Coexistence Between LTE-U and Wi-Fi Systems
|
journal
|
January 2019 |
|
Deep Learning-Inspired Message Passing Algorithm for Efficient Resource Allocation in Cognitive Radio Networks
|
journal
|
January 2019 |
|
Data-Driven Deep Learning for Automatic Modulation Recognition in Cognitive Radios
|
journal
|
April 2019 |
|
Subcarrier Assignment Schemes Based on Q-Learning in Wideband Cognitive Radio Networks
|
journal
|
January 2020 |
|
Reinforcement Learning for Efficient and Fair Coexistence Between LTE-LAA and Wi-Fi
|
journal
|
August 2020 |
|
Adaptive Federated Learning With Gradient Compression in Uplink NOMA
|
journal
|
December 2020 |
|
Robust Signal Classification Using Unsupervised Learning
|
journal
|
April 2011 |
|
Echo State Networks for Self-Organizing Resource Allocation in LTE-U With Uplink–Downlink Decoupling
|
journal
|
January 2017 |
|
Physical-Layer Security for Spectrum Sharing Systems
|
journal
|
February 2017 |
|
Proactive Resource Management for LTE in Unlicensed Spectrum: A Deep Learning Perspective
|
journal
|
July 2018 |
|
Liquid State Machine Learning for Resource and Cache Management in LTE-U Unmanned Aerial Vehicle (UAV) Networks
|
journal
|
March 2019 |
|
Energy Efficient Robust Beamforming and Cooperative Jamming Design for IRS-Assisted MISO Networks
|
journal
|
April 2021 |
|
Low Latency Ambient Backscatter Communications with Deep Q-Learning for Beyond 5G Applications
|
conference
|
May 2020 |
|
Machine Learning-Based Primary Exclusive Region Update for Database-Driven Spectrum Sharing
|
conference
|
June 2017 |
|
Spectrum sharing for LTE and WiFi coexistence using decision tree and game theory
|
conference
|
April 2016 |
|
Multi-Agent Reinforcement Learning Based Cognitive Anti-Jamming
|
conference
|
March 2017 |
|
Deep Reinforcement Learning for Time Scheduling in RF-Powered Backscatter Cognitive Radio Networks
|
conference
|
April 2019 |
Anti-jamming in cognitive radio networks using reinforcement learning algorithms
- Singh, Sangeeta; Trivedi, Aditya
-
2012 Ninth International Conference on Wireless and Optical Communications Networks - (WOCN), 2012 Ninth International Conference on Wireless and Optical Communications Networks (WOCN)
https://doi.org/10.1109/WOCN.2012.6331885
|
conference
|
September 2012 |
|
Machine Learning-based Primary User Emulation Attack Detection In Cognitive Radio Networks using Pattern Described Link-Signature (PDLS)
|
conference
|
April 2019 |
|
Ambient backscatter: wireless communication out of thin air
|
conference
|
August 2013 |
Practical Secure Aggregation for Privacy-Preserving Machine Learning
- Bonawitz, Keith; Ivanov, Vladimir; Kreuter, Ben
-
CCS '17: 2017 ACM SIGSAC Conference on Computer and Communications Security, Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security
https://doi.org/10.1145/3133956.3133982
|
conference
|
October 2017 |
Machine Learning with Membership Privacy using Adversarial Regularization
- Nasr, Milad; Shokri, Reza; Houmansadr, Amir
-
CCS '18: 2018 ACM SIGSAC Conference on Computer and Communications Security, Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security
https://doi.org/10.1145/3243734.3243855
|
conference
|
October 2018 |
|
CBRS Spectrum Sharing between LTE-U and WiFi: A Multiarmed Bandit Approach
|
journal
|
January 2016 |
|
Machine Learning Based Antenna Design for Physical Layer Security in Ambient Backscatter Communications
|
journal
|
January 2019 |
|
Semi-supervised machine learning for primary user emulation attack detection and prevention through core-based analytics for cognitive radio networks
|
journal
|
September 2019 |
|
Primary user emulation and jamming attack detection in cognitive radio via sparse coding
|
journal
|
July 2020 |
|
Learning Frameworks for Cooperative Spectrum Sensing and Energy-Efficient Data Protection in Cognitive Radio Networks
|
journal
|
May 2018 |
|
Cooperation Techniques between LTE in Unlicensed Spectrum and Wi-Fi towards Fair Spectral Efficiency
|
journal
|
August 2017 |