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Virtualized In-Cloud Security Services for Mobile Devices

机译:适用于移动设备的虚拟化云安全服务

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Modern mobile devices continue to approach the capabilities and extensibility of standard desktop PCs. Unfortunately, these devices are also beginning to face many of the same security threats as desktops. Currently, mobile security solutions mirror the traditional desktop model in which they run detection services on the device. This approach is complex and resource intensive in both computation and power. This paper proposes a new model whereby mobile antivirus functionality is moved to an off-device network service employing multiple virtualized malware detection engines. Our argument is that it is possible to spend bandwidth resources to significantly reduce on-device CPU, memory, and power resources. We demonstrate how our in-cloud model enhances mobile security and reduces on-device software complexity, while allowing for new services such as platform-specific behavioral analysis engines. Our benchmarks on Nokia's N800 and N95 mobile devices show that our mobile agent consumes an order of magnitude less CPU and memory while also consuming less power in common scenarios compared to existing on-device antivirus software.
机译:现代移动设备继续采用标准台式机的功能和可扩展性。不幸的是,这些设备也开始面临与台式机相同的安全威胁。当前,移动安全解决方案反映了传统的桌面模型,在该模型中,它们在设备上运行检测服务。这种方法在计算和功能上都很复杂并且占用大量资源。本文提出了一种新模型,该模型将移动防病毒功能转移到使用多个虚拟化恶意软件检测引擎的设备外网络服务。我们的观点是可以花费带宽资源来显着减少设备上的CPU,内存和电源资源。我们演示了我们的云端模型如何增强移动安全性并降低设备上软件的复杂性,同时支持诸如特定于平台的行为分析引擎之类的新服务。我们在诺基亚N800和N95移动设备上的基准测试表明,与现有的设备上防病毒软件相比,在常见情况下,我们的移动代理消耗的CPU和内存少一个数量级,同时消耗的电量也更少。

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