2 papers
eess.SP2021
Detecting False Data Injection Attacks in Smart Grids with Modeling Errors: A Deep Transfer Learning Based Approach
Bowen Xu, Fanghong Guo, Changyun Wen +2
Most traditional false data injection attack (FDIA) detection approaches rely on a key assumption, i.e., the power system can be accurately modeled. However, the transmission line…
eess.SP2020
Deep Reinforcement Learning Based Massive Access Management for Ultra-Reliable Low-Latency Communications
Helin Yang, Zehui Xiong, Jun Zhao +3
With the rapid deployment of the Internet of Things (IoT), fifth-generation (5G) and beyond 5G networks are required to support massive access of a huge number of devices over limi…