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Equifax. But we know how that worked out. Could a Blockchain/DHT solution work for this? Normalize and hash the data and send it to the network to check its ka
by krispbyte 8y ago
Equifax. But we know how that worked out.
Could a Blockchain/DHT solution work for this? Normalize and hash the data and send it to the network to check its karma. If there's no karma then it's a new customer, otherwise the karma tells if it's a good/bad customer. Then after they buy you add or reduce a karma point.
Would there be a way for someone to reverse/bruteforce the hashes to figure out people information?
- lxmorj 8y agoMD5 Hash of concatenated CC# & street address for all orders. Post to a database 90 days after the order shows no signs of fraud. Use existence in the DB (weighted by number of instances) as a probability of not-fraud. My guess is Shopify, Stripe, etc are doing something like that when they send "this might be fraud, you should review" alerts.