CCS2025

Silent Threshold Traitor Tracing & Enhancing Mempool Privacy

Anirban Chakrabarti, Monosij Maitra, Arup Mondal, Kushaz Sehgal

Abstract

The rising commerciality of cryptocurrencies and blockchains in DeFi applications raises the importance of implementing robust methods to protect its regular users against parties with enormous amounts of resources that allows them to balefully influence the market through various Maximal Extractable Value (MEV) strategies. There are typical situations in such scenarios where an end-user may want to hide its transaction details till it has been executed. Ensuring the privacy of pending mempool transactions thus becomes an important goal. To this end, various decentralized versions of threshold encryption (TE) systems have been recently shown particularly effective.