Deep learning based RF fingerprinting for device identification and wireless security
Deep learning based RF fingerprinting for device identification and wireless security is a scholarly work, published in 2018 in ''Electronics Letters''. The main subjects of the publication include intrusion detection system, traffic classification, deep learning, computer security, radio frequency, identification, computer network, wireless communication, and computer science. RF fingerprinting is an emerging technology for identifying hardware‐specific features of wireless transmitters and may find important applications in wireless security.