most citedZero-bias Deep Neural Network for Quickest RF Signal Surveillance

2 citations · 2 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CR2021

Blockchain Enabled Secure Authentication for Unmanned Aircraft Systems

Yongxin Liu, Jian Wang, Yingjie Chen +5

The integration of air and ground smart vehicles is becoming a new paradigm of future transportation. A decent number of smart unmanned vehicles or UAS will be sharing the national…

cs.LG20212 cited

Zero-bias Deep Neural Network for Quickest RF Signal Surveillance

Yongxin Liu, Yingjie Chen, Jian Wang +3

The Internet of Things (IoT) is reshaping modern society by allowing a decent number of RF devices to connect and share information through RF channels. However, such an open natur…

cs.CR2021

Learning to Detect: A Data-driven Approach for Network Intrusion Detection

Zachary Tauscher, Yushan Jiang, Kai Zhang +2

With massive data being generated daily and the ever-increasing interconnectivity of the world's Internet infrastructures, a machine learning based intrusion detection system (IDS)…

cs.LG2021

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…

cs.NI2021

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…