Shinyoung Cho

Shinyoung Cho works primarily in the fields of network security, privacy, and network measurements. She utilizes various algorithms and global continuous in-depth measurements in order to detect and mitigate any malicious actions performed by network-level entities such as autonomous systems. Specifically, she works to combat attacks on accessibility, security, and anonymity. 

The ‘detecting’ aspect of her work investigates when network protocols are repurposed for Internet censorship and when something is potentially malicious, such as the hijacking of network traffic. The ‘mitigating’ portion of her work focuses on threats that prey on the vulnerability of the Tor network. During her Ph.D., she spent time as a visiting researcher at the University of Massachusetts, Amherst; IIJ research lab in Japan; and CAIDA at the University of California San Diego. 

Selected Publications

Arian Akhavan Niaki*, Shinyoung Cho*, Zachary Weinberg*, Nguyen Phong Hoang, Abbas Razaghpanah, Nicolas Christin, and Phillipa Gill, “ICLab: A Global, Longitudinal Internet Censorship Measurement Platform,” in the 41st IEEE Symposium on Security and Privacy (SP) 2020

Shinyoung Cho, Romain Fontugne, Kenjiro Cho, Alberto Dainotti, and Phillipa Gill, “BGP hijacking classification,” in the Network Traffic Measurement and Analysis Conference (TMA) 2019

Zachary Weinberg, Shinyoung Cho, Nicolas Christin, Vyas Sekar, and Phillipa Gill, “How to Catch when Proxies Lie: Verifying the Physical Locations of Network Proxies with Active Geolocation”, in Internet Measurement Conference (IMC) 2018

Shinyoung Cho, Rishab Nithyanand, Abbas Razaghpanah, and Phillipa Gill, “A Churn for the Better: Localizing Censorship using Network-level Path Churn and Network Tomography”, in ACM International Conference on emerging Networking EXperiments and Technologies (CoNEXT) 2017