Bitcoin : a Game-Theoretic Analysis.

Format:

Book

Author/Creator:

Warren, Micah.

Series:

De Gruyter Textbook

Language:

English

Subjects (All):

Bitcoin.

Game theory.

Physical Description:

1 online resource (344 pages)

Edition:

1st ed.

Other Title:

Bitcoin

Place of Publication:

Berlin/Boston : Walter de Gruyter GmbH, 2023.

Summary:

The definitive guide to the game-theoretic and probabilistic underpinning for Bitcoin’s security model. The book begins with an overview of probability and game theory. Nakamoto Consensus is discussed in both practical and theoretical terms. This volume: Describes attacks and exploits with mathematical justifications, including selfish mining. Identifies common assumptions such as the Market Fragility Hypothesis, establishing a framework for analyzing incentives to attack. Outlines the block reward schedule and economics of ASIC mining. Discusses how adoption by institutions would fundamentally change the security model. Analyzes incentives for double-spend and sabotage attacks via stock-flow models. Overviews coalitional game theory with applications to majority takeover attacks Presents Nash bargaining with application to unregulated environments This book is intended for students or researchers wanting to engage in a serious conversation about the future viability of Bitcoin as a decentralized, censorship-resistant, peer-to-peer electronic cash system.

Contents:

Frontmatter

Preface

Acknowledgments

Contents

1 Basic of cryptographic payments

2 Probability spaces

3 Game theory basics

4 Monopolizing pool

5 Basic double-spend game

6 Censorship attacks

7 Economics of mining

8 Selfish mining

9 Strategic mining

10 What discourages strategic mining?

11 Declining block subsidy

12 The Flattening ASIC cost curve

13 Attacks

14 Direct frontal takeovers

15 Nash bargaining

16 Coalitional game theory

17 Stock, flow, and economic considerations

18 Bitcoin as it matures

Bibliography

Index

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

3-11-077284-1

OCLC:

1370495955