政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/112079

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政大機構典藏 > 商學院 > 風險管理與保險學系 > 會議論文 > Item 140.119/112079

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题名:	A probability model for analysis of attacks on blockchain
作者:	謝明華季延平 Hsieh, Ming Hua Chung, Ming Tao Chi, Yan Ping Jeffery
贡献者:	風管系
关键词:	Chains;Distributed computer systems;Electronic commerce;Markov processes;Peer to peer networks;Random processes;Stochastic systems;Block-chain;Computing power;Probability modeling;Proof of work;Transaction data;Two-state;Probability
日期:	2016-12
上传时间:	2017-08-22 16:34:45 (UTC+8)
摘要:	In a blockchain, the longest chain, which has the greatest proof-of-work effort spent in it, represents the majority decision. To change the transaction data of a block, an attacker has to control more computing power than other honest nodes. This situation can happen if the attacker can hack into the systems of honest nodes. To analyze the probability of such event, we propose a probability model for analysis of attacks on blockchain. The model is based on the structure of a peer-to-peer network. We assume the state of each honest node follows a two-state (hacked or normal) Markov chains. A hacked node is assumed to be controlled by the attacker and its computing power belongs to the attacker. On the other hand, the computing power of a normal node belongs to the honest longest chain. We apply the model to study the probability of the majority decision is controlled by the attacker and the duration of such event. In addition, we analyze the magnitude of the loss for such event.
關聯:	Proceedings of the International Conference on Electronic Business (ICEB), 352-355
数据类型:	conference
显示于类别:	[風險管理與保險學系] 會議論文

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