We propose RANDCHAIN, a Decentralised Randomness Beacon (DRB) that is the first to achieve both scalability (i.e., a large number of participants can join) and fairness (i.e., each participant controls comparable power on deciding random outputs). Unlike existing DRBs where participants are collaborative, i.e., aggregating their local entropy into a single output, participants in RANDCHAIN are competitive, i.e., competing with each other to generate the next output. The competitive design reduces the communication complexity from at least O(n2) to O(n) without trusted party, breaking the scalability limit in existing DRBs. To build RANDCHAIN, we introduce Sequential Proof-of-Work (SeqPoW), a cryptographic puzzle that takes a random and unpr...
We propose Cornucopia, a distributed randomness beacon protocol combining accumulators and verifiabl...
Multi-party random number generation is a key building-block in many practical protocols. While stra...
Examples of large scale networks include the Internet, peer-to-peer networks, parallel computing sys...
Bias-resistant public randomness is a critical component in many (distributed) protocols. Existing s...
Generating randomness collectively has been a long standing problem in distributed computing. It pla...
Many decentralized applications require a common source of randomness that cannot be biased or predi...
A proof-of-randomness (PoR) protocol could be a fair and low energy-cost consensus mechanism for blo...
Having shared access to high-quality random numbers is essential in many important applications. Yet...
Buoyed by the excitement around secure decentralized applications, the last few decades have seen nu...
This document analyzes how blockchain technology can be used to generate random- ness decentralized ...
The central piece of blockchain technologies is the consensus algorithm. The consensus is reached vi...
Regular access to unpredictable and bias-resistant randomness is important for applications such as ...
A randomness beacon is a source of continuous and publicly verifiable randomness which is of crucial...
In this paper we present ALBATROSS, a family of multiparty randomness generation protocols with guar...
We formalize the use of Bitcoin as a source of publicly-verifiable randomness. As a side-effect of B...
We propose Cornucopia, a distributed randomness beacon protocol combining accumulators and verifiabl...
Multi-party random number generation is a key building-block in many practical protocols. While stra...
Examples of large scale networks include the Internet, peer-to-peer networks, parallel computing sys...
Bias-resistant public randomness is a critical component in many (distributed) protocols. Existing s...
Generating randomness collectively has been a long standing problem in distributed computing. It pla...
Many decentralized applications require a common source of randomness that cannot be biased or predi...
A proof-of-randomness (PoR) protocol could be a fair and low energy-cost consensus mechanism for blo...
Having shared access to high-quality random numbers is essential in many important applications. Yet...
Buoyed by the excitement around secure decentralized applications, the last few decades have seen nu...
This document analyzes how blockchain technology can be used to generate random- ness decentralized ...
The central piece of blockchain technologies is the consensus algorithm. The consensus is reached vi...
Regular access to unpredictable and bias-resistant randomness is important for applications such as ...
A randomness beacon is a source of continuous and publicly verifiable randomness which is of crucial...
In this paper we present ALBATROSS, a family of multiparty randomness generation protocols with guar...
We formalize the use of Bitcoin as a source of publicly-verifiable randomness. As a side-effect of B...
We propose Cornucopia, a distributed randomness beacon protocol combining accumulators and verifiabl...
Multi-party random number generation is a key building-block in many practical protocols. While stra...
Examples of large scale networks include the Internet, peer-to-peer networks, parallel computing sys...