Efficient signature based malware detection on mobile devices

摘要: The threat of malware on mobile devices is gaining attention recently. It important to provide security solutions these before threats cause widespread damage. However, have severe resource constraints in terms memory and power. Hence, even though there are well developed techniques for detection the PC domain, it requires considerable effort adapt devices. In this paper, we outline considerations propose a signature based method. Specifically, detail matching algorithm that suited use device scanning due its low requirements. Additionally, shown high speed which makes unobtrusive users. Our evaluation comparison study with known Clam-AV scanner shows our solution consumes less than 50% used by while maintaining fast rate.