Fraud Management System Part1

Fraud Management System(FMS)
• A system which can
− Prevent, Detect, and Deter fraudulent activity
− Understand the sources and reasons for threats
− Build processes which can quickly identify and resolve fraud to reduce losses
• FMS uses the following analysis technologies:
− Rule Based
− Neural Networks/Data Mining
− Profiling
Integrated suite of applications for
− Revenue assurance
− Fraud management
− Credit management
FMS Designed for Adaptive Enterprises
• Classic Fraud Detection Rules
− Subscription/Call Selling/PRS/Roaming fraud
− Pre-paid fraud
− Internal/Dealer fraud
• Configurable Detection Pipeline
− Add-On Options for specific needs on an “when needed basis”, targeting specific fraud types
• Built-in Rating Engine
− for revenue assurance and real business value tracking
Multiple Analysis Engines
• Multiple Styles
− Rule Based, based on an expert system technology
− On-Line Scoring (e.g. N-N), based on past cases with a self-learning capability
− Profiling, based on the current behavior (usage and destinations)
• Multi Stream Analysis
− Revenue Assurance for analysis of revenue Integrity
• Data Mining Analysis
− Based on SPSS/Clementine
− Off-line analysis of past cases for
• fraud patterns’ discovery
• analysis of the outliers
Different Types of Fraud targeted by FMS on both wireless and wireline networks
• Network/Technical
− Cloning, home and roaming
− Tumbling, Magic Phones
− Pay phone or Prepaid
− PBX feature abuse
• Subscription
− Identity theft
− Roaming
− Call Forward
• Insider/Dealer
− Security breach of systems
− Unauthorized provisioning of services
− Stolen or counterfeit handsets
− Clip-on
− Stolen credit cards or numbers
− SIM Card Cloning
− SIM Gateway
− Content Fraud
− “Friendly” Fraud
− “Bad debt”
− IT data theft, ghosting
− Commissions on fraudulent sales

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