4 papers
Koopman-based Prediction of Connectivity for Flying Ad Hoc Networks
Sivaram Krishnan, Jinho Choi, Jihong Park +2
The application of machine learning (ML) to communication systems is expected to play a pivotal role in future artificial intelligence (AI)-based next-generation wireless networks.…
Predictive Covert Communication Against Multi-UAV Surveillance Using Graph Koopman Autoencoder
Sivaram Krishnan, Jihong Park, Gregory Sherman +2
Low Probability of Detection (LPD) communication aims to obscure the presence of radio frequency (RF) signals to evade surveillance. In the context of mobile surveillance utilizing…
Graph Koopman Autoencoder for Predictive Covert Communication Against UAV Surveillance
Sivaram Krishnan, Jihong Park, Gregory Sherman +2
Low Probability of Detection (LPD) communication aims to obscure the very presence of radio frequency (RF) signals, going beyond just hiding the content of the communication. Howev…
Federated Graph Learning for Low Probability of Detection in Wireless Ad-Hoc Networks
Sivaram Krishnan, Jihong Park, Subhash Sagar +3
Low probability of detection (LPD) has recently emerged as a means to enhance the privacy and security of wireless networks. Unlike existing wireless security techniques, LPD measu…