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Android Malware Rising: 350 New Infected Apps Appear Every Hour, Says New Report

International Business Times

Android Malware is on the rise, say researchers at G Data Security. A new report by the security firm revealed that in the first of 2017, over 750, 000 new malware apps were discovered. Android holds a 72 percent share of the mobile market and so it is reasonable that more attacks would happen on this platform. The number of malware samples cropping up each day are nonetheless staggering and there's no sign the problem will be corrected anytime soon. Since 2012, new Android malware samples have increased each year with the greatest hikes occurring over the last year.


Machine Learning The Easiest Way To Detect Malware In Android OS

#artificialintelligence

With handheld technology growing at an exponential rate, almost every advancement in the digital world gets more attention than ever. This can largely be credited to the ever-growing mobile phone ecosystem. As of now, there are over two billion mobile phone devices across the world (including feature phones and tablet devices). When it comes to the operating system (OS) or software that powers these smartphones, Google's Android has clearly emerged as the winner in the ecosystem, as compared to Apple's iOS or Microsoft's Windows Phone, with a lion's share of 80 percent. This success and popularity can be attributed to the ease at which Android offers developers to build applications and its open-source availability.


Android malware returned to Google Play with just a name change

Engadget

Google has done a lot to thwart Android malware in recent months, but it's apparent there's still some work to do. Symantec recently discovered seven previously removed rogue apps that resurfaced on Google Play simply by using a new publisher and new app names. The titles masqueraded as productivity apps and would even use official Google imagery to hide their origins, but would push ads and scam websites if they were allowed to stay for four hours. It's not clear how the apps slipped through, but Google has since taken them down. We've asked the company for comment.


This crypto-mining Android malware is so demanding it burst a smartphone

ZDNet

Most Android malware is at best annoying, but rarely does it cause physical damage to a phone. Not so with Loapi, a newly-discovered trojan with a cryptocurrency miner that worked a phone so hard its battery swelled up and burst open the device's back cover. Kaspersky Lab researchers found the malware lurking in about 20 bogus apps. The researchers decided to infect an Android phone with the malware, which wrecked the phone within 48 hours. Cryptocurrency miners are known to cause wear and tear on hardware by using a CPU to solve a cryptographic challenge.


Android Malware Category and Family Detection and Identification using Machine Learning

arXiv.org Artificial Intelligence

Android malware is one of the most dangerous threats on the internet, and it's been on the rise for several years. Despite significant efforts in detecting and classifying android malware from innocuous android applications, there is still a long way to go. As a result, there is a need to provide a basic understanding of the behavior displayed by the most common Android malware categories and families. Each Android malware family and category has a distinct objective. As a result, it has impacted every corporate area, including healthcare, banking, transportation, government, and e-commerce. In this paper, we presented two machine-learning approaches for Dynamic Analysis of Android Malware: one for detecting and identifying Android Malware Categories and the other for detecting and identifying Android Malware Families, which was accomplished by analyzing a massive malware dataset with 14 prominent malware categories and 180 prominent malware families of CCCS-CIC-AndMal2020 dataset on Dynamic Layers. Our approach achieves in Android Malware Category detection more than 96 % accurate and achieves in Android Malware Family detection more than 99% accurate. Our approach provides a method for high-accuracy Dynamic Analysis of Android Malware while also shortening the time required to analyze smartphone malware.