Mining pool manipulation in blockchain network over evolutionary block withholding attack = 블록체인 네트워크상 진화론적 BWH 공격 분석 및 인위적 마이닝 풀 조작 설계

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In the current blockchain network, many participants rationally migrate the pool to receive a better compensation according to their contribution in situations where the pools they engage encounter undesirable attacks. The Nash equilibria of attacked pool has been widely analyzed, but the analysis of practical methodology for obtaining it is still inadequate. In this paper, we propose an evolutionary game theoretic analysis of Proof-of-Work (PoW) based blockchain network in order to investigate the mining pool dynamics affected by malicious infiltrators and the feasibility of autonomous migration among individual miners. We formulate a revenue model for mining pools which are implicitly allowed to launch a block withholding attack. Under our mining game, we analyze the evolutionary stability of Nash equilibrium with replicator dynamics, which can explain the population change with time between participated pools. Further, we explore the statistical approximation of successful mining events to show the necessity of artificial manipulation for migrating. Finally, we construct a better response learning based on the required block size which can lead to our evolutionarily stable strategy (ESS) with numerical results that support our theoretical discoveries.
Advisors
Hahn, Sang-geunresearcher한상근researcher
Description
한국과학기술원 :수리과학과,
Publisher
한국과학기술원
Issue Date
2020
Identifier
325007
Language
eng
Description

학위논문(박사) - 한국과학기술원 : 수리과학과, 2020.8,[iii, 42 p. :]

Keywords

Blockchain▼aEvolutionary Game Theory▼aMining Pool Selection▼aReplicator Dynamics▼aPotential Game; 블록체인▼a진화론적 게임 이론▼a마이닝 풀 선택▼a복제자 동학▼a잠재력 게임

URI
http://hdl.handle.net/10203/284356
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=924357&flag=dissertation
Appears in Collection
MA-Theses_Ph.D.(박사논문)
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