95 citations · 118 across the 4 of their papers we have counts for
4 papers
Class-Incremental Learning for Wireless Device Identification in IoT
Yongxin Liu, Jian Wang, Jianqiang Li +2
Deep Learning (DL) has been utilized pervasively in the Internet of Things (IoT). One typical application of DL in IoT is device identification from wireless signals, namely Non-cr…
Zero-bias Deep Learning Enabled Quick and Reliable Abnormality Detection in IoT
Yongxin Liu, Jian Wang, Jianqiang Li +2
Abnormality detection is essential to the performance of safety-critical and latency-constrained systems. However, as systems are becoming increasingly complicated with a large qua…
Machine Learning for the Detection and Identification of Internet of Things (IoT) Devices: A Survey
Yongxin Liu, Jian Wang, Jianqiang Li +2
The Internet of Things (IoT) is becoming an indispensable part of everyday life, enabling a variety of emerging services and applications. However, the presence of rogue IoT device…
Zero-Bias Deep Learning for Accurate Identification of Internet of Things (IoT) Devices
Yongxin Liu, Jian Wang, Jianqiang Li +4
The Internet of Things (IoT) provides applications and services that would otherwise not be possible. However, the open nature of IoT make it vulnerable to cybersecurity threats. E…