Gaming Machine Network Security for RNG Fraud Detection
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Solution Overview
Problem
Electronic gaming machines (EGMs) are vulnerable to sophisticated hacking techniques that allow players to manipulate the random number generator (RNG) to increase their chances of winning, compromising the fairness and integrity of the games.
Innovation Solution
A security support device installed within the EGM captures operational data, analyzes network traffic for patterns of fraudulent player conduct, and generates alerts or shuts down the machine to prevent manipulation, using machine learning models and predefined profiles to detect anomalies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the EGM uses a standard network interface for communication, then ease of operation and connectivity are improved, but vulnerability to hacking and fraudulent conduct increases
Solution Approach 1:
The patent introduces a security device as an intermediary component between the EGM's network interface and the external network. This security device intercepts and analyzes network traffic packets, detecting fraudulent conduct patterns while allowing legitimate communication to proceed. The intermediary security layer protects the EGM without compromising its standard network connectivity and ease of operation.
2Reliability
If the EGM implements comprehensive security monitoring, then detection of fraudulent conduct is improved, but device complexity increases
Solution Approach 1:
The patent segments the security monitoring function into a separate, dedicated security device rather than integrating it throughout the entire EGM system. The security device independently captures network packets, analyzes them for fraudulent patterns, and generates alerts. This segmentation provides comprehensive fraud detection while containing complexity within a single modular component that can be added without redesigning the entire EGM architecture.
3Measurement precision
If the EGM processes and analyzes all network traffic in real-time, then detection precision is improved, but processing time and energy consumption increase
Solution Approach 1:
The security device applies partial action by selectively analyzing only those network packets that exhibit characteristics of fraudulent conduct rather than processing every packet with equal depth. The system uses predefined fraudulent conduct patterns to identify suspicious packets for detailed analysis, while allowing normal traffic to pass with minimal processing. This approach maintains high detection precision for fraudulent activities while reducing overall energy consumption compared to exhaustive real-time analysis of all traffic.
Data Source
AI summary
A security support device installed within or affixed to an electronic gaming machine includes at least one network interface configured to inspect network traffic being generated by one or more components of the electronic gaming machine. The security support device also includes a security support component configured to receive network packets from the at least one network interface, the network packets are transmitted between a game controller of the electronic gaming machine and one of the external server, extract one or more components of operational data from the network packets, the operational data related to the operation of the electronic gaming machine, detect fraudulent player conduct based on the one or more components of operational data, and generate a security alert in response to the detected fraudulent player conduct.