Fraud detection using device fingerprinting used by e-commerce, banking, financial services or digital advertising companies, fraud detection using device fingerprinting is an effective tool for protecting against various forms of deception. This advanced technology analyzes thousands of real-time device signals to identify motivated fraudulent activities.

Device fingerprinting uses a combination of hardware details, software configurations, and browser settings to create unique identifiers for every device used by Internet users. This data is then compared with device characteristics and behaviors to create risk scores that help businesses distinguish between legitimate and illegitimate devices. The more a user uses a device, the more a risk score is generated and this information can be correlated with other signals to help determine if a particular transaction should be approved or denied.

How to Stop RDP Proxy Abuse with Device Fingerprinting

It is important to note that this type of data is considered personal information and must be handled with care, especially when combining it with other identity signals. Securing user consent, meeting GDPR standards and implementing strict security measures will be critical for ensuring the safety of this sensitive information.

Fraudsters have developed a wide range of tactics to bypass fingerprinting and other fraud prevention tools. These include the use of fake device IDs, emulators (software that recreates the characteristics and identifying information of a real device) and Remote Access Trojans (RATs). However, by combining device fingerprinting with a robust set of detection capabilities like IPQS’ proprietary device intelligence, these fraudsters can be detected and stopped.