Smartphones have become the most popular mobile devices. Due to their simplicity, portability and functionality comparable to recent computers users tend to store more and more sensitive information on mobile devices rendering them an attractive target for malware writers. As a consequence, mobile malware population is doubled every single year. Many approaches to detect mobile malware infections directly on mobile devices have been proposed. Detecting and blocking voice and SMS messages related to mobile malware in a mobile operator's network has, however, gained little attention so far. The 4GMOP proposed in this paper aims at closing this gap.
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