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Mobility

Oracle Data Cloud and Moat Analytics Filter Fraud from Mobile Apps

Moat Analytics Earns MRC recognition for sophisticated invalid traffic filtration and detection in mobile apps.

March 11, 2019 Lisa Montgomery Leave a Comment

mobile apps

According to eMarketer, Americans spent more than three and a half hours per day using their smartphones and tablet devices on average in 2018, and 88 percent of that time was spent within apps, rather than mobile web browsers.

As mobile apps become an increasingly popular vehicle for conducting business, they run a higher risk of falling prey to ad fraud. The need for rigorous monitoring and defense is more important than ever.

Highlighting the importance of in-app SIVT (sophisticated invalid traffic) prevention, Oracle last week announced the discovery of “DrainerBot,” a major mobile ad fraud operation distributed through millions of downloads of infected consumer Android apps. Infected apps could consume more than 10GB of data per month downloading hidden and unseen video ads, potentially costing each device owner a hundred dollars per year or more in data overage charges.

Oracle Data Cloud and Moat Analytics are making sure that mobile environments are protected from ad fraud like this.

Recently, Oracle Data Cloud announced that the Media Rating Council (MRC) granted accreditation to Moat Analytics for its ability to detect and filter sophisticated invalid traffic (SIVT), like the ad fraud generated by bot networks, in mobile apps. To earn its MRC accreditation, Moat Analytics successfully completed an audit of its technologies, systems, and processes by independent CPAs engaged by the MRC, and was found by an MRC committee to be compliant with MRC’s high standards.

“Mobile has become a critical front in the struggle against ad fraud,” says Dan Fichter, vice president of Engineering at Oracle Data Cloud. “For marketing budgets to continue their shift to apps and the mobile web, marketers must gain confidence that the mobile environment is safe. This MRC accreditation was earned through the hard work of a cross-disciplinary Moat technology team that specializes in mobile development, network engineering, data science, and machine learning across a footprint that nets us tens of billions of measurement logs each day. I’m very proud of the teams that have pulled this off.”

“The MRC’s guidelines for SIVT filtration and detection were designed to ensure that measurement providers comply with a comprehensive range of rigorous requirements for this vital and complicated work,” adds George W. Ivie, executive director and CEO of MRC. “We are pleased to recognize Oracle Data Cloud’s Moat Analytics for achieving this important accreditation for in-app SIVT filtration and detection, and we commend them for their leadership in working toward transparency and accountability in digital advertising.”

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Tagged With: Apps, Data Security, Mobile Device

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