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A perspective approach on Virtualized Cloud Security for Mobiles (Hand held Devices)

机译:移动(手持设备)虚拟化云安全性的透视方法

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This paper proposes a new model whereby mobile antivirus functionality is moved to an offdevice 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. Our consideration to make performance very fast we use Cloud faster tool to solve speed problem, two suits are DCTCP, Wide Area TCP.
机译: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。为了使性能变得非常快,我们考虑使用云更快的工具来解决速度问题,其中两种适合是DCTCP,广域TCP。

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