Illicit Website Identification System for Merchant Investigation
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Solution Overview
Problem
Current systems face challenges in efficiently identifying and investigating suspect illicit merchants and websites due to the sheer volume of potential suspects, time-consuming processes, and disparate reporting sources, leading to delays in responding to illicit e-commerce activities.
Innovation Solution
The implementation of an illicit website identification system that leverages transaction data and web-crawled information to flag and identify suspect websites and merchants by analyzing transaction data against website content, using rules and parameters to determine illicit activity, and generating identification reports for further investigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual investigation of suspect websites is performed, then investigation thoroughness is maintained, but investigation time and resource consumption increase significantly
Solution Approach 1:
The system enables automated self-investigation by having the computing device automatically receive transaction data, analyze it against website content, identify suspect merchants, and generate reports without requiring manual human intervention at each step, thereby dramatically improving investigation speed
Solution Approach 2:
The patent replaces manual mechanical investigation processes with automated electronic data processing, using computing devices to automatically analyze transaction data and website content, substituting human investigators with algorithm-driven systems that operate continuously without fatigue
2Measurement precision
If comprehensive transaction data analysis is performed on all suspect websites, then identification accuracy improves, but system complexity and processing requirements increase
Solution Approach 1:
The system extracts only the relevant portions of transaction data and website content that are necessary for identifying illicit merchants, rather than processing all available data, thereby maintaining high identification accuracy while reducing processing complexity and resource requirements
Solution Approach 2:
The analysis process is segmented into distinct automated steps: receiving transaction data, analyzing website content, comparing data sets, identifying suspect merchants, and generating reports. This segmentation allows each step to be optimized independently while maintaining overall system accuracy
Data Source
AI summary
An illicit website identifying (IWI) computing device is described herein, the IWI computing device configured to store a log of suspect illicit websites, the log including website content associated with each suspect illicit website. Each suspect illicit website is associated with a respective merchant. The IWI computing device is also configured to receive transaction data for at least one transaction initiated at a first suspect illicit website, the first suspect illicit website included within the log of suspect illicit websites, and analyze the received transaction data to identify one or more transactions including at least a portion of the website content associated with the first suspect illicit website. The IWI computing device is further configured to identify the first suspect illicit website and the merchant associated therewith as illicit for further investigation, and generate an identification report including the identified illicit website and merchant.