- Google is using machine learning to group apps by function and spot the bad apples.
- Image: Google With machine learning, Google can use peer grouping to scan apps that are being loaded on to the Play Store en masse.
- “We focus on signals that can negatively affect user privacy, such as permission requests that are not related to core app functionality, and the actual, observed behaviors,” explains Martin Pelikan of Google’s security and privacy team over email.
- In its most recent annual Android security review, the percentage of users who had installed harmful apps from the official Play Store fell from 0.15 percent in 2015 to 0.05 percent in 2016.
- Many users — particularly those in China — install Android apps from alternative app stores, which the company doesn’t have control over.
@verge: “Google is using machine learning to sort good apps from bad on the Play Store” open tweet »