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True Machine Learning is the Strongest Weapon to Fight App Install Ad Fraud - A Fireside Chat with Draftkings. MAU 2019

Don’t let fraud dictate your user acquisition strategy. Learn why a manual, rules-based approach to fraud detection pales in comparison to an advanced machine learning based approach
The issue with rules is that they tend to be outdated very quickly. Fraudsters are able to reverse-engineer them very quickly and you are not protected let alone from any sophisticat...
Why Trusted Traffic Sources May No Longer Be Trustworthy
Reverse engineering as one of the most advanced tools of fraudsters

The anatomy of mobile ad fraud: Device Farms

Most anti-fraud solutions show too much information publicly and are easily reverse-engineered by fraudsters so they can emulate real users. Their Device Farms can fake post-install ...

The anatomy of mobile ad fraud: Click Injection

In most cases, Click Injection is the work of large fraud groups producing real mobile apps with embedded malware viruses, through which infection occurs

What are the “Mixes” and how to identify this type of app install fraud

The general principle of “mixes” grounds on the conscious use of several various types of fraud to get over the known protection measures of fraud detection tools
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Why Mobile Advertisers Should Push For Machine Learning-Based Fraud Detection

The only solution for mobile advertisers is to partner with anti-fraud tools that make use of powerful and intelligent technologies such as machine...

Scalarr and the Future of Fraud Detection: Q&A with Scalarr Founders Inna Ushakova and Yuriy Yashunin

The road to Scalarr's foundation was paved with challenges and opportunities and in this in-depth conversation, you'll learn the story of Scalarr f...

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