The fraud landscape within the mobile user acquisition space is very complex with many sophisticated attack techniques involved. In this blog post, we will cover the tools and techniques used by fraudsters and why it's difficult to detect them.
This blog post is part one of a two-part series that details the UA fraud problems in the mobile app industry. The series highlights the impact of the fraud problem, the tools and techniques fraudsters use and why UA fraud is getting harder to detect.
In this webinar recording, Kohki Yamaguchi, product manager at DataVisor, shared the recent findings from our latest DataVisor Threat Labs report where we analyzed data from our Global Intelligence Network consisting of more than 491 ad networks, 140 million app installs and 11 billion user events
One of the things we heard repeatedly during our most recent meetup on User Acquisition Fraud was frustration at not knowing where a company stands in terms of fraudulent users. It was clear that people want to [...]
Device fingerprinting, i.e., collecting information from a device for the purposes of identification, is one of the main techniques used by online services for mobile fraud detection. The goal is to recognize “bad” devices used [...]
A version of this post also appeared on Mobile Advertising Watch. The mobile app landscape is extremely competitive. With more than three million apps available today in the major app stores, a new app has slim [...]
The recent announcement from Activision Blizzard to acquire King Digital Entertainment, maker of the hit game Candy Crush, for a staggering $5.9 billion certainly turned some heads. Is there really that much money in the [...]