CNET News Video
Uber knows when scammers are using GPS spoofing apps. Here's how.The company shared its secrets on how it uses machine learning to fight off fraud.
For me thanks let's look at how overflights fraud. Learn more about it's I south. There's been a lot of scam attempts for Hoover like they say they fight them off about every day or so now and it usually revolves around a GPS spoofing apps. You can basically tell it like your phone that you're actually in one place when you're not and and spammers to use like me are stolen credit card numbers. They will use that too odd basically give themselves money on Hoover that way and they'll also use that to game Hoover's though liver disease incentive programs were like. If you do a hundred point five rides in one day. They'll give you an extra 500 dollar it has. This is the hottest. This post you've refined and worse yet am I coming to sell at the beginning and using machine learning now it's kind of analyse like okay so these are the trips are on this front if if you notice they're all at this altitude mean. Whereas if it's from a GPS spoof for at this altitude is insane like they're like all over the place like 200 feet up in the air and unless these are that the new flying car flying car yeah. We've all been expecting. It's just like it is probably scans so they they've been to be enabled of work ways out like using machine learning to block them now out of it and really this. And this is to think is that. And these visa scams really hurt the driver's themselves right yeah just uber yeah and on it. They they're it hurts to drivers where they end up having to pay for because the credit card companies will sailing campuses stolen credit card right rent us the money back but if they reported to over and over ends up paying for itself out and don't lose so much money they report it OK on but Hoover like loses like three times in this scenario because again get a driver than have to pay the credit card company. And like they sell have fallen distances scan they don't know where it's like coming from.