# Fraud Detection

Advanced systems to detect and prevent fraudulent activity.

## Detection Systems

### 1. Duplicate Detection

Identify duplicate businesses:

* Name similarity
* Address matching
* Phone number comparison
* Coordinate proximity

### 2. Fake Review Detection

Identify suspicious reviews:

* Review patterns
* Account behavior
* Language analysis
* Timing patterns

### 3. Profile Manipulation

Detect profile gaming:

* Rapid changes
* Keyword stuffing
* Category manipulation
* Suspicious updates

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## Machine Learning Models

### Anomaly Detection

* Unusual activity patterns
* Outlier identification
* Behavioral analysis
* Risk scoring

### Pattern Recognition

* Fraud signatures
* Network analysis
* Temporal patterns
* Geographic patterns

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## Prevention Measures

### Account Security

* Multi-factor authentication
* IP monitoring
* Device fingerprinting
* Session management

### Rate Limiting

* API rate limits
* Action throttling
* Abuse prevention
* DDoS protection

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## Response Actions

### Automated Actions

* Temporary suspension
* Content removal
* Account flagging
* Alert generation

### Manual Review

* Investigation
* Evidence gathering
* Decision making
* Communication

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**Learn More**: [Trust & Safety →](https://amistan.gitbook.io/aidp-docs/platform-features/trust-safety)