Research Projects

Research on Deep Learning Methods for Encrypted Traffic Identification Based on Conditional Generative Adversarial Networks and Variational Autoencoders

Completed

National Natural Science Foundation of China, General Program

Role: Principal Investigator

Funding: National Natural Science Foundation of China

Period: January 1, 2020 - December 31, 2023

Amount: ¥600K RMB

Research on Deep Learning Methods for Encrypted Traffic Identification Based on Conditional Generative Adversarial Networks and Variational Autoencoders

Completed

National Natural Science Foundation of China, General Program

Role: Principal Investigator

Funding: National Natural Science Foundation of China

Period: January 1, 2020 - December 31, 2023

Amount: ¥600K RMB

Research on Network Demand Scenarios Based on Open Programmable Chips

Completed

Ministry of Science and Technology of China, National Key R&D Program

Role: Principal Investigator

Funding: Ministry of Science and Technology of China

Period: January 2020 - December 2022

Amount: ¥990K RMB

Research on Network Demand Scenarios Based on Open Programmable Chips

Completed

Ministry of Science and Technology of China, National Key R&D Program

Role: Principal Investigator

Funding: Ministry of Science and Technology of China

Period: January 2020 - December 2022

Amount: ¥990K RMB