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Proceedings ArticleDOI

A Secure Sharding Protocol For Open Blockchains

TLDR
ELASTICO is the first candidate for a secure sharding protocol with presence of byzantine adversaries, and scalability experiments on Amazon EC2 with up to $1, 600$ nodes confirm ELASTICO's theoretical scaling properties.
Abstract
Cryptocurrencies, such as Bitcoin and 250 similar alt-coins, embody at their core a blockchain protocol --- a mechanism for a distributed network of computational nodes to periodically agree on a set of new transactions. Designing a secure blockchain protocol relies on an open challenge in security, that of designing a highly-scalable agreement protocol open to manipulation by byzantine or arbitrarily malicious nodes. Bitcoin's blockchain agreement protocol exhibits security, but does not scale: it processes 3--7 transactions per second at present, irrespective of the available computation capacity at hand. In this paper, we propose a new distributed agreement protocol for permission-less blockchains called ELASTICO. ELASTICO scales transaction rates almost linearly with available computation for mining: the more the computation power in the network, the higher the number of transaction blocks selected per unit time. ELASTICO is efficient in its network messages and tolerates byzantine adversaries of up to one-fourth of the total computational power. Technically, ELASTICO uniformly partitions or parallelizes the mining network (securely) into smaller committees, each of which processes a disjoint set of transactions (or "shards"). While sharding is common in non-byzantine settings, ELASTICO is the first candidate for a secure sharding protocol with presence of byzantine adversaries. Our scalability experiments on Amazon EC2 with up to $1, 600$ nodes confirm ELASTICO's theoretical scaling properties.

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Citations
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Journal ArticleDOI

Towards Saving Blockchain Fees via Secure and Cost-Effective Batching of Smart-Contract Invocations

TL;DR: iBatch as mentioned in this paper is a middleware system running on top of an operational Ethereum network to enable secure batching of smart-contract invocations against an untrusted relay server off-chain.
Proceedings ArticleDOI

Trebiz: Byzantine Fault Tolerance with Byzantine Merchants

TL;DR: Zhang et al. as discussed by the authors proposed Trebiz, which also absorbs the fast-path commitment rule to reduce the number of phases from three to two, but maintains optimal resilience and strong security.
Book ChapterDOI

A Novel Consensus Algorithm for Alliance Chain

TL;DR: In this article, the authors analyzes some requirements realization which applies to the alliance chain, which mainly includes the following parts: local data sharing, work order decentralizing transaction consensus, and regulatory compliance.
Book ChapterDOI

A Practical Dynamic Enhanced BFT Protocol

TL;DR: This paper presents a dynamic enhanced BFT (DEBFT) protocol that is designed to support dynamic property and faulty nodes punishment and employs Dynamic Threshold Identity-based Encryption and Distributed Key Generation to enable changes of the consensus group without reconfiguring the whole system.
References
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Journal ArticleDOI

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Book ChapterDOI

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Book ChapterDOI

The Sybil Attack

TL;DR: It is shown that, without a logically centralized authority, Sybil attacks are always possible except under extreme and unrealistic assumptions of resource parity and coordination among entities.
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Distributed algorithms

Nancy Lynch
TL;DR: This book familiarizes readers with important problems, algorithms, and impossibility results in the area, and teaches readers how to reason carefully about distributed algorithms-to model them formally, devise precise specifications for their required behavior, prove their correctness, and evaluate their performance with realistic measures.
Proceedings ArticleDOI

Practical Byzantine fault tolerance

TL;DR: A new replication algorithm that is able to tolerate Byzantine faults that works in asynchronous environments like the Internet and incorporates several important optimizations that improve the response time of previous algorithms by more than an order of magnitude.
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