Hengrun Zhang

Title: Innovations of Hengrun Zhang in Anomaly Detection

Introduction

Hengrun Zhang is an accomplished inventor based in Fairfax Station, VA (US). He has made significant contributions to the field of anomaly detection through his innovative patent. His work focuses on enhancing the security of communication networks, particularly in the context of controller area networks.

Latest Patents

Hengrun Zhang holds a patent titled "Federated graph neural network for fast anomaly detection in controller area networks." This patent describes a method and apparatus for intrusion detection that involves generating graph data from a sequence of messages in a communication network. The graph data represents a node for each message identifier and an edge for each pair of consecutive message identifiers. Pair counts are generated for edges in the graph data, indicating how often each pair of consecutive message identifiers occurs in the sequence. Input feature vectors are created for nodes in the graph data, incorporating data content of messages and pair counts for each edge connected to the node. These input feature vectors are processed through a graph neural network and subsequently through layers of a classifier to determine if the sequence of messages contains an anomaly.

Career Highlights

Hengrun Zhang is affiliated with George Mason University, where he contributes to research and development in the field of network security. His expertise in graph neural networks and anomaly detection has positioned him as a valuable asset in his field.

Collaborations

Hengrun collaborates with Kai Zeng, working together to advance their research and innovations in the area of communication networks and security.

Conclusion

Hengrun Zhang's innovative work in anomaly detection through his patented technology showcases his commitment to enhancing network security. His contributions are significant in the ongoing efforts to protect communication networks from potential intrusions.