Most common frauds and money laundering attempts in gambling
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Chapter 2
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Market requirements
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First approach - (B)ELK
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Narrowing down the requirements
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Current (legacy) architecture
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Beggars can't be choosers 2/2
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Chapter 3
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Target solution technologies
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Streams processing Kafka Streams
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Esper CEP engine overview
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Event processing model
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Physical cashbox tampering
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Multiple coin/note cash-in
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Parallel identity usage
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Questions
Description:
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