Explore complex event processing for fraud detection in gambling systems through this conference talk from Devoxx Poland 2019. Delve into real-world case studies showcasing the evolution of event processing pipelines from Logstash to Kafka Streams and Esper. Gain insights into the unique challenges of the gambling domain, including common frauds and money laundering attempts. Examine market requirements, legacy architectures, and target solution technologies. Learn about streams processing with Kafka Streams and the Esper CEP engine overview. Discover event processing models for detecting physical cashbox tampering, multiple coin/note cash-ins, and parallel identity usage in gambling systems.
Harnessing Complex Event Processing for Fraud Detection
Overview
Syllabus
Intro
Article 29 of Act on Games and Mutual Bagering
Our latest goal
Deciphering the content
Chapter 1
Limited amount of system types
Two types of markets
Most common frauds and money laundering attempts in gambling
Chapter 2
Market requirements
First approach - (B)ELK
Narrowing down the requirements
Current (legacy) architecture
Beggars can't be choosers 2/2
Chapter 3
Target solution technologies
Streams processing Kafka Streams
Esper CEP engine overview
Event processing model
Physical cashbox tampering
Multiple coin/note cash-in
Parallel identity usage
Questions
Taught by
Devoxx
