Cas Cremers (CISPA Helmholtz Center for Information Security), Martin Dehnel-Wild (University of Oxford)

The 5G mobile telephony standards are nearing completion; upon adoption these will be used by billions across the globe. Ensuring the security of 5G communication is of the utmost importance, building trust in a critical component of everyday life and national infrastructure.

We perform a fine-grained formal analysis of 5G’s main authentication and key agreement protocol (5G-AKA), and provide the first models that explicitly consider all parties defined by the protocol specification. Our formal analysis reveals that the security of 5G-AKA critically relies on unstated assumptions on the inner workings of the underlying channels. In practice this means that following the 5G-AKA specification, a provider can easily and ‘correctly’ implement the standard insecurely, leaving the protocol vulnerable to a security-critical race condition. We then provide the first models and analysis considering component and channel compromise in 5G, the results of which further demonstrate the fragility and subtle trust assumptions of the 5G-AKA protocol.

We propose formally verified fixes to the encountered issues, and we have worked with 3GPP to ensure that these fixes are adopted.

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Ruian Duan (Georgia Institute of Technology), Ashish Bijlani (Georgia Institute of Technology), Yang Ji (Georgia Institute of Technology), Omar Alrawi (Georgia Institute of Technology), Yiyuan Xiong (Peking University), Moses Ike (Georgia Institute of Technology), Brendan Saltaformaggio (Georgia Institute of Technology), Wenke Lee (Georgia Institute of Technology)

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Virgil D. Gligor (Carnegie Mellon University), Maverick S. L. Woo (Carnegie Mellon University)

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Sourav Das (Department of Computer Science and Engineering, Indian Institute of Technology Delhi), Vinay Joseph Ribeiro (Department of Computer Science and Engineering, Indian Institute of Technology Delhi), Abhijeet Anand (Department of Computer Science and Engineering, Indian Institute of Technology Delhi)

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Statistical Privacy for Streaming Traffic

Xiaokuan Zhang (The Ohio State University), Jihun Hamm (The Ohio State University), Michael K. Reiter (University of North Carolina at Chapel Hill), Yinqian Zhang (The Ohio State University)

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