17 citations · 23 across the 10 of their papers we have counts for
11 papers
Exploring Traffic Simulation and Cybersecurity Strategies Using Large Language Models
Lu Gao, Yongxin Liu, Hongyun Chen +3
Intelligent Transportation Systems (ITS) are increasingly vulnerable to sophisticated cyberattacks due to their complex, interconnected nature. Ensuring the cybersecurity of these…
Machine Learning for Cyber-Attack Identification from Traffic Flows
Yujing Zhou, Marc L. Jacquet, Robel Dawit +9
This paper presents our simulation of cyber-attacks and detection strategies on the traffic control system in Daytona Beach, FL. using Raspberry Pi virtual machines and the OPNSens…
Explainable Machine Learning for Cyberattack Identification from Traffic Flows
Yujing Zhou, Marc L. Jacquet, Robel Dawit +9
The increasing automation of traffic management systems has made them prime targets for cyberattacks, disrupting urban mobility and public safety. Traditional network-layer defense…
Improving Air Mobility for Pre-Disaster Planning with Neural Network Accelerated Genetic Algorithm
Kamal Acharya, Alvaro Velasquez, Yongxin Liu +3
Weather disaster related emergency operations pose a great challenge to air mobility in both aircraft and airport operations, especially when the impact is gradually approaching. W…
GraphDAC: A Graph-Analytic Approach to Dynamic Airspace Configuration
Ke Feng, Dahai Liu, Yongxin Liu +2
The current National Airspace System (NAS) is reaching capacity due to increased air traffic, and is based on outdated pre-tactical planning. This study proposes a more dynamic air…
Unusual acceleration and size effects in grain boundary migration with shear coupling
Liang Yang, Xinyuan Song, Tingting Yu +2
Grain boundary (GB) migration plays a crucial role in the thermal and mechanical responses of polycrystalline materials, particularly in ultrafine-grained and nano-grained material…
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…
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…
Federated Variational Learning for Anomaly Detection in Multivariate Time Series
Kai Zhang, Yushan Jiang, Lee Seversky +3
Anomaly detection has been a challenging task given high-dimensional multivariate time series data generated by networked sensors and actuators in Cyber-Physical Systems (CPS). Bes…
Learning-to-Dispatch: Reinforcement Learning Based Flight Planning under Emergency
Kai Zhang, Yupeng Yang, Chengtao Xu +2
The effectiveness of resource allocation under emergencies especially hurricane disasters is crucial. However, most researchers focus on emergency resource allocation in a ground t…
Spatio-Temporal Data Mining for Aviation Delay Prediction
Kai Zhang, Yushan Jiang, Dahai Liu +1
To accommodate the unprecedented increase of commercial airlines over the next ten years, the Next Generation Air Transportation System (NextGen) has been implemented in the USA th…