DenseFlow_Tool

Introduction

This is a model used for money laundering detection on Ethereum based on the model DenseFlow.

In path Code/info.py change the path.

In path inputData/AML to see the data, stored according to case name, all-normal-addres.csv is the original transaction data.

Run main.ipynb

Symbols	Interpretation
$G$	Downstream transaction network
$V$	Nodes of graph $G$
$E$	Transaction edges of graph $G$, each edge $e=(i,j,a,t)$,sender's account ($i$), the recipient's account ($j$)
$a$	Transaction amount
$t$	Transaction timestamp
$e_{ji}$	Edge frequency from node $j$ to node $i$
$S$	Node subset of graph $G$
$S^*$	Optimal subset
$\alpha_i(S)$	Topological suspiciousness of node $i$ within $S$
$\beta_i(S)$	Temporal suspiciousness of node $i$ within $S$
$\gamma_i(S)$	Monetary suspiciousness of node $i$ within $S$
$\Phi\left[T_i(S)\right]$	Timestamp set of transaction from $S$ to $v_i$
$R$	Rating of transaction suspiciousness
$\omega_i$	Weighted assigned to node $i$ in priority tree
$F$	Accounts within suspicious money laundering flow
$M$	Suspicious money laundering account set
$f_i(S)$	Suspicious function of node $i$ within $S$
$g(S)$	Suspicious function of subset $S$
$(t_o,a_o)$	Awakening point of a surge in transactions calculated by the MultiBurst algorithm
$(t_p,a_p)$	Peak point of a surge in transactions calculated by the MultiBurst algorithm
$\tau(t)$	Timestamp set of the transaction timestamp $t$ within the time slot
$A(\tau)$	Sum of the amounts for all transactions within the timestamp set $\tau$
$\eta_i(S)$	Sum of the numbers for all transactions in set $S$ with $i$
$x_{ij}$	Flow on edge $(i,j)$ in Maximum Flow Algorithm

Here we provide some empirical evidence on the density issue of money laundering networks from reports of blockchain security companies.

[2] PeckShield Team. 2021. Digital currency anti-money laundering research report: 2020 annual report. https://coinholmes.com/static/pdf/2020_2.pdf

[3] PeckShield Team. PlusToken new bottles of old wine cheat 10 billion OTC into an important access to gold channel. https://mp.weixin.qq.com/s/y5R3Raznu3dVMDFsAz25ww

[4] TRM Lab. 2023. Illicit crypto ecosystem report: A comprehensive guide to illicit finance risks in crypto. https://www.trmlabs.com/report#Fraud-and-Scams