Split-View Attack Protection for Transparency Systems

Transparency Systems, such as Certificate Transparency or Key Transparency, are designed to provide accountability and verifiability of data. However, they are vulnerable to split-view attacks, where adversaries manipulate different versions of data to deceive participants by providing inconsistent views of the system. This project focuses on analyzing tools and mechanisms to detect, mitigate, and prevent split-view attacks in transparency systems.

As part of this project, we explore split-view detection mechanisms, such as gossiping and distributed monitoring frameworks (witnessing), that aim to ensure all participants view the same data. Additionally, we evaluate the effectiveness of gossip protocols and witnessing to maintain global consistency across the system.

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