DroidOL: Android malware detection based on online machine learning

Image: Jack Wallen/TechRepublic Historically speaking, people defending digital infrastructure are at a significant disadvantage. Bad guys can morph their malware tools at will, while security professionals must always be at the ready to shove out new versions of their products when previously undetected malware is discovered—often too late for the defenders who then have to clean up the mess. And bad guys are opportunists, always casting their nets in waters teeming with unsuspecting victims. Nowhere is this more apparent than in the mobile industry, in particular devices running the Android operating system. Security companies have been reporting massive increases in malware infections. Kaspersky’s 2015 Security Bulletin reports detecting four million malware infections in 2015—a 216% increase over 2014. SEE: Skyrocketing Android ransomware has quadrupled over past year, says new report…

Link to Full Article: DroidOL: Android malware detection based on online machine learning

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