A Survey about Consensus Algorithms Used in Blockchain
By Giang-Truong Nguyen, Kyungbaek Kim. Journal of Information Processing Systems, 2018
495 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/da057538348d02e746150154d1362b0dc6063790
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Ahmed Afif Monrat
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- Sudeep Tanwar
- Karl Andersson
- Umesh Bodkhe
- Samudaya Nanayakkara
- Karan Parekh
Citations in the corpus
- Blockchain technology: Is it hype or real in the construction industry? (2020, background): “Few other known consensus algorithms are Proof of Authority, Proof of Burn, Proof of Activity, Proof of Capacity, Simplified Byzantine Fault Tolerance, Federated Byzantine Agreement, Zero-Knowledge Proof and so on [16, 32-34].”
- A Survey of Blockchain From the Perspectives of Applications, Challenges, and Opportunities (2019, background): “Unlike PoS, there are significantly fewer participants for block validation, which facilitates faster block generation and confirms transactions quickly [69].”
- Comparative analysis of blockchain consensus algorithms (2018, methodology): “Similarly, the reference research performs a qualitative evaluation of various hybrid consensus algorithms [10,11].”
- Blockchain for Industry 4.0: A Comprehensive Review (2020, background): “So, data formatting of the different types of blocks include its time, consensus algorithm [50], number of transaction per blocks, and its content data types.”
- Blockchain 3.0 applications survey (2020, methodology): “The commitment is expressed in different ways depending on the consensus algorithm chosen, for example with Proof of Work (PoW) [54] miners show commitment by dedicating computational power, while with Proof of Stake (PoS) [54] is that the election of the miner is probabilistic, i.e., each…”
- Blockchain in Industries: A Survey (2019, background): “such as security [79]–[83], consensus protocols and algorithms [84], [101], [108], scalability [89], [103], software engineering issues [92], [93], and current research in the field [88].”