A5019099167- Network Security and Intrusion Detection
- Security in Wireless Sensor Networks
- Oceanographic and Atmospheric Processes
- Energy Efficient Wireless Sensor Networks
- Ocean Waves and Remote Sensing
- Artificial Immune Systems Applications
- Tropical and Extratropical Cyclones Research
- Advanced Control Systems Design
- Advanced Control Systems Optimization
- Hydrological Forecasting Using AI
- Fault Detection and Control Systems
Dalian University of Technology
2023-2024
Hong Kong Polytechnic University
2024
Central South University
2024
Chinese University of Hong Kong, Shenzhen
2023
University of Electronic Science and Technology of China
2022-2023
Wireless sensor networks (WSNs) are prone to attack due open work conditions and broadcast communication. The selective forwarding attack, one of the inner attacks in WSNs, is hardest detect among denial service (DoS) attacks. malicious nodes which launch will drop part or all data packets they received. Many proposed detection methods against have low accuracy high algorithm complexity, especially when attacker works its way network along with several attacks, such as blackhole, wormhole,...
In recent years, artificial intelligence algorithms based on big data have gradually emerged and been applied to short time predictions of ocean waves (e.g. 1h, 3h, …, 48h). However, long 720h) not investigated due time-consuming computation. By using the hourly wave reanalysis North Pacific Ocean from 2016 2020, this study establishes a series prediction model for with forecast length one month (720h) PatchTST model. performs one-time multi-step forecasting by dividing into sub-series level...