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Can Relying on a Rules-Based Fraud Protection Tool Ruin Your Business

The anatomy of mobile ad fraud: Mixed Fraud

In 2019 the level of fraudsters’ sophistication increased dramatically: they have learned to blend together different techniques and manipulate the system by imitating real user beha...

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The issue with rules is that they tend to be outdated very quickly.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...

Highlights from MAU Vegas 2019 collected for you by Scalarr

The MAU conference has grown into one of the most important mobile events in the world and should be on the calendar of all mobile-focused marketers

The anatomy of mobile ad fraud: Smart Bots

Smart Bots can fully emulate user behavior with high accuracy by performing in-app activities for up to 30 days after install

The anatomy of mobile ad fraud: Modified Click Spam

Anti-fraud detection of abnormal TTI has forced fraudsters to adjust. Now they attempt to “cut off the long tail” of TTI over several days, making Click Spam more complicated to detect
Reverse engineering as one of the most advanced tools of fraudsters
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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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