Smartphones have recently become increasingly popular be cause they provide “allinone” convenience by integrating traditional mobile phones with handheld computing devices. However, the flexibility of running thirdparty softwares also leaves the smartphones open to malicious viruses. In fact, hundreds of smartphone viruses have emerged in the past two years, which can quickly spread through various means such as SMS/MMS, Bluetooth and traditional IPbased ap plications. Our own implementations of two proofofconcept viruses on Windows Mobile have confirmed the vulnerability of this popular smartphone platform. In this paper, we present SmartSiren, a collaborative virus detection and alert system for smartphones. In order to de tect viruses, SmartSiren collects the communication activity information from the smartphones, and performs joint anal ysis to detect both singledevice and systemwide abnormal behaviors. We use a proxybased architecture to ooad the processing burden from resourceconstrained smartphones and simplify the collaboration among smartphones. When a potential virus is detected, the proxy quarantines the out break by sending targeted alerts to those immediately threat ened smartphones. We have demonstrated the feasibility of SmartSiren through implementations on a Dopod 577w smartphone, and evaluated its effectiveness using simula tions driven by 3week SMS traces from a national cellular carrier. Our results show that SmartSiren can effectively
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SmartSiren: Virus Detection and Alert for Smartphones