Chunyi Peng

My research aims to innovate mobile network access in 4G/5G and beyond to support emerging demands on new functionalities, performance, reliability and security. I am interested in exploiting and developing a multi-disciplinary solution that incorporates machine learning, distributed systems, computing theory, cybersecurity to mobile networking.

Active Research

• AI for Networks: New Mobility and AI for 5G Security (part of NSF AI Institute for Future Edge Networks and Distributed Intelligence (AI-EDGE), CNS-2112471)

• AIM: Amplify Intelligence in Mobile Networked Systems (CNS-1750953)

• Evolving Mobile Network Security

  • Cellular-911 Security (CNS-2246051)

• MI-LAB: Harnessing network data to spur operational mobile network research (a follow-up of our prior project MobileInsight)

• Robots4U: Personal Robots For YOU

Past Research

• Better Mobility Support in 4G Networks (CNS-1526456 –> CNS-1749049, CNS-1526985) –> next: New Mobility at AI-EDGE

• Control-Plane Protocol Verification in 4G/3G Cellular Networks (CNS-1421440 –> CNS-1748630, CNS-1423576) –> next: AIM

• Assessing the Impact on Operational Mobile Networks in the Face of COVID-19 Public Health Crisis (CNS-2027650)

• Evolving Mobile Network Security

  • Combating caller ID spoofing

  • LTE Voice/SMS security (CNS-1527613 –> CNS-1749045, CNS-1528122)

  • Securing mobile data charging (CNS-1421933 –> CNS-1753500, CNS-1422835)

  • HackCellular: All-In-One Demo of Real Attacks in Cellular Networks

• Novel Mobile Communication, Sensing and Applications over visible light and acoustic signals

  • InFrame: Hide Data Bits In Video Frames

Acknowledgement

I gratefully acknowledge ongoing and past research support from NSF and AT&T, as well as past gifts from Adobe, Qualcomm and Amateur Radio Digital Communications (ARDC).