Hyunwoo Lee (Ohio State University), Haohuang Wen (Ohio State University), Phillip Porras (SRI), Vinod Yegneswaran (SRI), Ashish Gehani (SRI), Prakhar Sharma (SRI), Zhiqiang Lin (Ohio State University)

The fifth-generation (5G) cellular network has advanced significantly, becoming a crucial component of modern communication. However, there are still many inherent security vulnerabilities in the 5G network standard, which advocates continuous research and development efforts. To this end, there are various open-source 5G software and public testbeds for 5G network testing and research. While those tools are valuable, users with limited expertise often struggle to deploy a 5G network and conduct sophisticated security testing with these platforms. To fill this gap, we introduce MOBIDOJO, the first virtual 5G security testing platform that supports one-click 5G deployment and security testing with web-based graphical user interfaces. MOBIDOJO is built on entirely virtual (i.e., no radio hardware required) open-source software - the OpenAirInterface’s 5G stack deployed as Docker containers, making it compatible with any commodity servers. Another critical capability of MOBIDOJO is its attack simulation plugins that allow users to execute existing attacks or create custom Packet Capture (PCAP)-based 5G attack payloads and test them within an isolated 5G test network. We anticipate MOBIDOJO could drive many valuable applications, including education, Capture-the-Flag (CTF) competitions, 5G security research, defense evaluation, etc., ultimately helping to improve the transparency and security of 5G networks.

View More Papers

Beyond Classification: Inferring Function Names in Stripped Binaries via...

Linxi Jiang (The Ohio State University), Xin Jin (The Ohio State University), Zhiqiang Lin (The Ohio State University)

Read More

The State of https Adoption on the Web

Christoph Kerschbaumer (Mozilla Corporation), Frederik Braun (Mozilla Corporation), Simon Friedberger (Mozilla Corporation), Malte Jürgens (Mozilla Corporation)

Read More

Was This You? Investigating the Design Considerations for Suspicious...

Sena Sahin (Georgia Institute of Technology), Burak Sahin (Georgia Institute of Technology), Frank Li (Georgia Institute of Technology)

Read More

BrowserFM: A Feature Model-based Approach to Browser Fingerprint Analysis

Maxime Huyghe (Univ. Lille, Inria, CNRS, UMR 9189 CRIStAL), Clément Quinton (Univ. Lille, Inria, CNRS, UMR 9189 CRIStAL), Walter Rudametkin (Univ. Rennes, Inria, CNRS, UMR 6074 IRISA)

Read More