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Google looks to machine learning, to track malicious applications on Google Play

 

With machine learning, Google can use peer grouping to scan apps that are being loaded on to the Play Store en masse.
Today, the company has described in detail how it’s using one technique — known as peer grouping — to help keep the Play Store purely playful.
Peer grouping is a pretty simple idea.
Many users — particularly those in China — install Android apps from alternative app stores, which the company doesn’t have control over.
Security on Android has always been a challenge for Google due to the operating system’s open nature.

as mentioned in

Hundreds of Google Play Store applications might be infective with power stealing malware – The Trussville Tribune

 Google Play Store apps

Google and its app developers are working to prevent malware, viruses, trojans and other malicious software from infiltrating their products.
Some apps found to have the malware were developed by Attunable, Classywall, Firamo, FlameryHot, NeonApp, Goopolo, Personalization, Litvinka Co, Liverypapir, Tuneatpa, Waterflo, X Soft and Zheka.
From Trussville Tribune staff reportsA report from WVTM 13 says that more than 300 apps on Google Play Store have been infected with a type of malware that can drain a phone’s power, rendering it slow and the battery life short.
According to the report the malware, “works by continuously requesting ads from third-party companies and faking clicks from Android users, which spawns revenue and fraudulent impressions.”Advertisers affected by the software can lose anywhere from $62,000 to $214,000 a day.

collected by :Mina Lony

 

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