New intelligent defense systems to reduce the risks of Selfish Mining and Double-Spending attacks using Learning Automata

arXiv:2307.00529v2 Announce Type: replace-cross
Abstract: In this paper, we address the critical challenges of double-spending and selfish mining attacks in blockchain-based digital currencies. Double-spending is a problem where the same tender is spent multiple times during a digital currency transaction, while selfish mining is an intentional alteration of a blockchain to increase rewards to one miner or a group of miners. We introduce a new attack that combines both these attacks and propose a machine learning-based solution to mitigate the …

abstract arxiv attacks blockchain challenges cs.cr cs.lg currencies currency defense digital digital currency intelligent mining multiple paper reduce risks spending systems type