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Anonymous Jamming Detection in 5G with Bayesian Network Model Based Inference Analysis

  • Published:2022-06-06 Issue: Volume: Page:
  • ISSN:
  • Container-title:2022 IEEE 23rd International Conference on High Performance Switching and Routing (HPSR)
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Author:

Wang Ying1,Jere Shashank2,Banerjee Soumya3,Liu Lingjia2,Shetty Sachin3,Dayekh Shehadi4

Affiliation:

1. Stevens Institute of Technology,Hoboken,NJ,USA

2. Virginia Tech,Bradley Department of ECE,Blacksburg,VA,USA

3. Old Dominion University,Virginia Modeling Analysis and Simulation Center,Norfolk,VA,USA

4. Deloitte & Touche LLP,Cyber 5G Strategic Growth Offering,Dallas,TX,USA

Funder

Deloitte

Publisher

IEEE

Reference14 articles.

1. AI-Powered Real-Time Channel Awareness and 5G NR Radio Access Network Scheduling Optimization

2. O-RAN: Towards an Open and Smart RAN;O-RAN Alliance,2018

3. Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection

4. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference.

5. METHOD OF PROBABILISTIC INFERENCE FROM LEARNING DATA IN BAYESIAN NET-WORKS;terent’yev;Tech Rep 3,2007

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2. Dependency-Graph Enabled Formal Analysis for 5G AKA Protocols: Assumption Propagation and Verification;ICC 2024 - IEEE International Conference on Communications;2024-06-09

3. GeTOA: Game- Theoretic Optimization for AOI of Ultra-Reliable eVTOL Collaborative Communication;2024 IEEE Wireless Communications and Networking Conference (WCNC);2024-04-21

4. Against Jamming Attack in Wireless Communication Networks: A Reinforcement Learning Approach;Electronics;2024-03-26

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