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bin xiao, phd

Associate Professor
Hong Kong Polytechnic University

Dr. Bin Xiao is an associate professor at Department of Computing, the Hong Kong Polytechnic University, Hong Kong. Dr. Xiao received the B.Sc and M.Sc degrees in Electronics Engineering from Fudan University, China, and Ph.D. degree in computer science from University of Texas at Dallas, USA. His research interests include AI and network security, data privacy, and blockchain systems. Dr. Xiao has published more than 180 technical papers in international top journals and conferences. His Google H-index is 35. He is the IEEE Senior member, CCF and ACM member.

ABSTRACT

Mining Attacks to the Blockchain System

The blockchain technology can be extensively applied in diverse services, ranging from online micro-payment, supply chain tracking, digital forensics, health-care record sharing to insurance payment. The blockchain system needs the mining process to generate new blocks. However, mining attacks can severely ruin the system, e.g., creating double spending. In this talk, we will first review previous mining attacks, e.g., block withholding (BWH), fork after withholding (FAW), and selfish mining. Then, we will propose two new mining attacks, Power Adjusting Withholding (PAW) and Bribery Selfish Mining (BSM). Both attacks can increase the reward of attackers. We propose some countermeasures to mitigate the new attacks, but a practical and efficient solution remains to be an open problem.