BloodHound: Early Detection and Identification of Jamming at the PHY-layer

Author:

Alhazbi Saeif1,Sciancalepore Savio2,Oligeri Gabriele1

Affiliation:

1. College of Science and Engineering (CSE), Hamad Bin Khalifa University (HBKU),Division of Information and Computing Technology (ICT),Doha,Qatar

2. Eindhoven University of Technology,Eindhoven,Netherlands

Funder

Qatar National Research Fund

Publisher

IEEE

Reference26 articles.

1. PAST-AI: physical-layer authentication of satellite transmitters via deep learning;oligeri;CoRR,2020

2. A survey on transfer learning;pan;IEEE Trans on Knowledge and Data Engineer,2009

3. Jamming Detection Mechanisms for Wireless Sensor Networks;çakiro?lu;Proc of the Int Conf on Scalable Informat Systs,0

4. ImageNet Large Scale Visual Recognition Challenge

5. Convolutional Neural Network-Based Radar Jamming Signal Classification With Sufficient and Limited Samples

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