Ethereum Fraud Detection

Context

This dataset contains rows of known fraud and valid transactions made over Ethereum.

Content

--Index: the index number of a row
--Address: the address of the ethereum account
--FLAG: whether the transaction is fraud or not
--Avg min between sent tnx: Average time between sent transactions for account in minutes.
--Avgminbetweenreceivedtnx: Average time between received transactions for account in minutes
--TimeDiffbetweenfirstand_last(Mins): Time difference between the first and last transaction.
--Sent_tnx: Total number of sent normal transactions.
--Received_tnx: Total number of received normal transactions.
--NumberofCreated_Contracts: Total Number of created contract transactions.
--UniqueReceivedFrom_Addresses: Total Unique addresses from which account received transactions.
---UniqueSentTo_Addresses20: Total Unique addresses from which account sent transactions.
--MinValueReceived: Minimum value in Ether ever received.
--AvgValueReceived5Average value in Ether ever received.
--MinValSent: Minimum value of Ether ever sent.
--AvgValSent: Average value of Ether ever sent.
--MinValueSentToContract: Minimum value of Ether sent to a contract
--AvgValueSentToContract: Average value of Ether sent to contracts.
--MaxValueSentToContract: Maximum value of Ether sent to a contract
--TotalTransactions(IncludingTnxtoCreate_Contract): Total number of transactions
--TotalEtherSent:Total Ether sent for account address
--TotalEtherReceived: Total Ether received for account address
--TotalEtherSent_Contracts: Total Ether sent to Contract addresses
--TotalEtherBalance: Total Ether Balance following enacted transactions
--TotalERC20Tnxs: Total number of ERC20 token transfer transactions
--ERC20TotalEther_Received: Total ERC20 token received transactions in Ether
--ERC20TotalEther_Sent: Total ERC20token sent transactions in Ether
--ERC20TotalEtherSentContract: Total ERC20 token transfer to other contracts in Ether
--ERC20UniqSent_Addr: Number of ERC20 token transactions sent to Unique account addresses
--ERC20UniqRec_Addr: Number of ERC20 token transactions received from Unique addresses.
--ERC20UniqRecContractAddr: Number of ERC20token transactions received from Unique contract addresses.
--ERC20AvgTimeBetweenSent_Tnx: Average time between ERC20 token sent transactions in minutes
--ERC20AvgTimeBetweenRec_Tnx: Average time between ERC20 token received transactions in minutes
--ERC20AvgTimeBetweenContract_Tnx: Average time ERC20 token between sent token transactions
--ERC20MinVal_Rec: Minimum value in Ether received from ERC20 token transactions for account.
--ERC20MaxVal_Rec: Maximum value in Ether received from ERC20 token transactions for account
--ERC20AvgVal_Rec: Average value in Ether received from ERC20 token transactions for account
--ERC20MinVal_Sent: Minimum value in Ether sent from ERC20 token transactions for account
--ERC20MaxVal_Sent: Maximum value in Ether sent from ERC20 token transactions for account
--ERC20AvgVal_Sent: Average value in Ether sent from ERC20 token transactions for account
--ERC20UniqSentTokenName: Number of Unique ERC20 tokens transferred
--ERC20UniqRecTokenName: Number of Unique ERC20 tokens received
--ERC20MostSentTokenType: Most sent token for account via ERC20 transaction
--ERC20MostRecTokenType: Most received token for account via ERC20 transactions

Acknowledgements

The dataset acknowledges the way to perform machine learning classifiers to identify frauds in a complex network of technologies like blockchain.

Inspiration

Understanding and identifying Fraud in the blockchain space and preparing more robust fraud detection networks to fulfill the purpose of unhackble blockchain technology.