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 →