A comprehensive review of significant learning for anomalous transaction detection using a machine learning method in a decentralized blockchain network
International Journal of Advanced Technology and Engineering Exploration · 2022
Blockchain technology has changed the global trading of assets.A blockchain can be viewed as a connected ledger managed by a distributed peer-topeer (P2P) network.Blockchain offers distinctive characteristics such as transactional privacy, the immutability of data, transparency and cryptographic, among others.These features paved the door for blockchain to develop numerous technology solution, including voting applications [1,2], internet of things (IoT) [3,4], and supply chain management (SCM) [5,6], among others.The increasing desire for technological advancements stimulated the development of BT. *Author for correspondence A blockchain logs the transfer of assets during transactions and arranges them into blocks.Cryptographic algorithms connect blocks to their predecessors, establishing a blockchain.Satoshi Nakamoto popularized the blockchain in 2008 as the public ledger of Bitcoin transactions [7].Bitcoin is the first popular blockchain technology (BT) and the first real implementation of a cryptocurrency ecosystem.Ethereum is the principal distributed blockchain network that now supports digital smart contracts and the second-largest cryptocurrency, known as Ether.Despite these advantages, BT is susceptible to certain assaults and problems.Security concerns and weaknesses, such as majority assaults [8], weak smart contracts [9], eclipse attacks [10], and phishing schemes [11], have