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Fraud Detection - Alibaba

This repo is to practise some code implementing from this paper. Please read through the paper before continue: https://nesa.zju.edu.cn/download/Online%20E-Commerce%20Fraud%20A%20Large-scale%20Detection%20and%20Analysis.pdf

Introduction:

This repo is only for practising purpose so:

• it does not have high credibility
• performance of code may be (or will) not good, so all feedback and comment are highly welcomed

About the paper (quick summary, quoting from paper)

There are 2 modules in this paper:

• GBD module (Graph-Based Detection module): this module using an "user-item bipartite graph and a small set of confirmed dishonest users, GBD assigns each item a fraud score via a propagation algorithm. Then, it determines the fraud items based on their fraud scores." - page 2

• TSD module (Time Series based Detection module): " TSD is designed based on the observation that when a new fraud pattern appears or a new item becomes a fraud item, the traffic time series of the new fraud item is likely to exhibit differently from the benign items. Therefore, it first makes a hypothesis that the traffic time series of each item follows a mixture Poissondistribution. Then, it derives an abnormal score for the traffic time series of each item, and determines the fraud items based on the abnormal scores." - page 2