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See detailA framework for constructing Single Secret Leader Election from MPC
Backes, Michael; Berrang, Pascal; Hanzlik, Lucjan et al

in Computer Security – ESORICS 2022 (2022)

The emergence of distributed digital currencies has raised the need for a reliable consensus mechanism. In proof-of-stake cryptocurrencies, the participants periodically choose a closed set of validators ... [more ▼]

The emergence of distributed digital currencies has raised the need for a reliable consensus mechanism. In proof-of-stake cryptocurrencies, the participants periodically choose a closed set of validators, who can vote and append transactions to the blockchain. Each validator can become a leader with the probability proportional to its stake.Keeping the leader private yet unique until it publishes a new block can significantly reduce the attack vector of an adversary and improve the throughput of the network. The problem of Single Secret Leader Election(SSLE) was first formally defined by Boneh et al. in 2020. In this work, we propose a novel framework for constructing SSLE protocols, which relies on secure multi-party computation (MPC) and satisfies the desired security properties. Our framework does not use any shuffle or sort operations and has a computational cost for N parties as low as O(N) of basic MPC operations per party. We improve the state-of-the-art for SSLE protocols that do not assume a trusted setup. Moreover, our SSLE scheme efficiently handles weighted elections. That is, for a total weight S of N parties, the associated costs are only increased by a factor of log S. When the MPC layer is instantiated with techniques based on Shamir’s secret-sharing, our SSLE has a communication cost of O(N^2) which is spread over O(log N) rounds, can tolerate up to t < N/2 of faulty nodes without restarting the protocol, and its security relies on DDH in the random oracle model. When the MPC layer is instantiated with more efficient techniques based on garbled circuits, our SSLE re-quires all parties to participate, up to N−1 of which can be malicious, and its security is based on the random oracle model. [less ▲]

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See detailTagvisor: A privacy advisor for sharing hashtags
Zhang, Yang; Humbert, Mathias; Rahman, Tahleen et al

in Proceedings of The Web Conference 2018 (WWW'18) (2018)

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See detailwalk2friends: Inferring Social Links from Mobility Profiles
Backes, Michael; Humbert, Mathias; Pang, Jun UL et al

in Proceedings of the 24th ACM International Conference on Computer and Communications Security (2017)

Detailed reference viewed: 111 (5 UL)