The document describes a project that aims to develop a business solution for identifying fraudulent activities on online applications through clickstream analysis using Hadoop. It discusses analyzing user clickstream data to detect patterns that may indicate fraudulent behavior. The proposed system would gather web logs, store and structure the data in HDFS, apply pattern matching algorithms to analyze the data, and visualize patterns of typical and atypical user behavior. It outlines the scope, requirements, and design of the system, including algorithms, models, and diagrams. The future scope is also discussed as expanding authentication capabilities.