Comparative analysis of blockchain consensus algorithms

块链 一致性算法 共识 算法
作者
L. M. Bach,Branko Mihaljević,Martin Zagar
出处
期刊:International Convention on Information and Communication Technology, Electronics and Microelectronics 卷期号:: 1545-1550 被引量:228
标识
DOI:10.23919/mipro.2018.8400278
摘要

Cryptocurrencies have seen a massive surge in popularity and behind these new virtual currencies is an innovative technology called the blockchain: a distributed digital ledger in which cryptocurrency transactions are recorded after having been verified. The transactions within a ledger are verified by multiple clients or “validators,” within the cryptocurrency's peer-to-peer network using one of many varied consensus algorithms for resolving the problem of reliability in a network involving multiple unreliable nodes. The most widely used consensus algorithms are the Proof of Work (PoW) algorithm and the Proof of Stake (PoS) algorithm; however, there are also other consensus algorithms which utilize alternative implementations of PoW and PoS, as well as other hybrid implementations and some altogether new consensus strategies. In this paper, we perform a comparative analysis of typical consensus algorithms and some of their contemporaries that are currently in use in modern blockchains. Our analysis focuses on the algorithmic steps taken by each consensus algorithm, the scalability of the algorithm, the method the algorithm rewards validators for their time spent verifying blocks, and the security risks present within the algorithm. Finally, we present our conclusion and some possible future trends for consensus algorithms used in blockchains.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
1秒前
李明星应助现代的岩采纳,获得10
1秒前
IV完成签到,获得积分10
1秒前
1秒前
CC完成签到,获得积分10
1秒前
lan发布了新的文献求助30
2秒前
大蒜头发布了新的文献求助10
2秒前
可爱的函函应助雪莉酒采纳,获得10
2秒前
Hilda007应助ss采纳,获得10
2秒前
夹谷蕈完成签到 ,获得积分10
2秒前
酷波er应助zhangyujin采纳,获得10
3秒前
小春发布了新的文献求助10
3秒前
tian发布了新的文献求助10
3秒前
丘比特应助baobao采纳,获得10
3秒前
矮小的长颈鹿完成签到,获得积分10
4秒前
edc发布了新的文献求助10
4秒前
大山完成签到,获得积分20
4秒前
4秒前
4秒前
llaky发布了新的文献求助10
4秒前
舒服的银耳汤完成签到,获得积分10
5秒前
5秒前
小蘑菇应助linggle采纳,获得10
6秒前
fengfenghao完成签到,获得积分10
6秒前
carina完成签到,获得积分10
6秒前
蓝豆子完成签到 ,获得积分10
7秒前
甜菜发布了新的文献求助10
7秒前
CarryZ8发布了新的文献求助10
7秒前
大模型应助TTT采纳,获得10
7秒前
7秒前
无奈敏发布了新的文献求助10
7秒前
Amnesia1102应助热水养花采纳,获得10
7秒前
8秒前
8秒前
ly完成签到,获得积分10
8秒前
唐文硕发布了新的文献求助10
8秒前
zqqq发布了新的文献求助10
9秒前
量子星尘发布了新的文献求助10
9秒前
李健应助飞云之下采纳,获得10
9秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
List of 1,091 Public Pension Profiles by Region 1001
EEG in Childhood Epilepsy: Initial Presentation & Long-Term Follow-Up 500
Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences 500
On the application of advanced modeling tools to the SLB analysis in NuScale. Part I: TRACE/PARCS, TRACE/PANTHER and ATHLET/DYN3D 500
L-Arginine Encapsulated Mesoporous MCM-41 Nanoparticles: A Study on In Vitro Release as Well as Kinetics 500
Haematolymphoid Tumours (Part A and Part B, WHO Classification of Tumours, 5th Edition, Volume 11) 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5471603
求助须知:如何正确求助?哪些是违规求助? 4574227
关于积分的说明 14344534
捐赠科研通 4501396
什么是DOI,文献DOI怎么找? 2466341
邀请新用户注册赠送积分活动 1454471
关于科研通互助平台的介绍 1429047