Hyoungdae Kim, Jusik Yun, Yunyeong Goh, Jong-Moon Chung, Journal of Internet Computing and Services, Vol. 21, No. 1, pp. 17-31, Feb. 2020
10.7472/jksii.2020.21.1.17, Full Text:  HTML
Keywords: Blockchain, Consensus Algorithm, PBFT (Practical Byzantine Fault Tolerance), Adaptive Consensus Bound PBFT (ACB-PBFT)

Abstract

With the rapid development of block chain technology, attempts have been made to put the block chain technology into practical use in various fields such as finance and logistics, and also in the public sector where data integrity is very important. Defense Operations In addition, strengthening security and ensuring complete integrity of the command communication network is crucial for operational operation under the network-centered operational environment (NCOE). For this purpose, it is necessary to construct a command communication network applying the block chain network. However, the block chain technology up to now can not solve the security issues such as the 51% attack. In particular, the Practical Byzantine fault tolerance (PBFT) algorithm which is now widely used in blockchain, does not have a penalty factor for nodes that behave maliciously, and there is a problem of failure to make a consensus even if malicious nodes are more than 33% of all nodes. In this paper, we propose a Adaptive Consensus Bound PBFT (ACB-PBFT) algorithm that incorporates a penalty mechanism for anomalous behavior by combining the Trust model to improve the security of the PBFT, which is the main agreement algorithm of the blockchain.

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