Fraud prevention in the age of online privacy
summary
Claim: browser privacy rules reduce tracking but also blunt fraud detection, so Risk.Ident pivots to more constrained signals and server-side heuristics. Walkthroughs show a live device fingerprinting demo (JavaScript page + dashboard) that successfully collects user agent, canvas, GPU, reload counts and VPN flags; stack: Scala / Play Framework, Basra SQL and Tableau. Fraud tools named: anti‑detect browsers (Undetect, Multilogin), VPNs and bot farms. Surprising figures cited: ~600 Facebook accounts compromised per day (2017) and ~23% of cloud accounts abused for fraud; GDPR raises operational costs.
AI-written summary · about
chapters (8)
- 0:00Introduction
- 5:09Fraud
- 11:56Fraud tools
- 16:20Fraud prevention tool
- 17:28Pros and cons
- 19:10How to protect yourself
- 23:19Online fingerprinting
- 27:21Future
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01h 15mStrengthening trust in computing technologies for detecting illegal deception online
13mBehavioral Analytics for Real-Time Fraud Prevention
29mYou Can’t Hide: How a Device Can Give Away a Fraudster’s Secrets.
