New mobile-malware detection technique uses gestures
Mobile malware is a growing problem, but researchers from University of Alabama at Birmingham have figured out a new way of detecting when shady mobile apps get up to no good, such as trying to call premium-rate numbers unbeknowst to a phone’s owner.
The technique relies on using the phone’s motion, position and ambient sensors to learn the gestures that users typically make when they initiate phone calls, take pictures or use the phone’s NFC reader to scan credit cards.
Some mobile malware programs already abuse these services and security researchers expect their number will only increase.
The technology developed by the UAB researchers can monitor those three services and can check whether attempts to access them are accompanied by the natural gestures users are expected to make. If they’re not, they were likely initiated by malware.