Vulnerability evaluation for securely offloading mobile apps in the cloud

He Zhu, Changcheng Huang, James Yan
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引用次数: 8

Abstract

The increasing complexity and explosive growth of smartphone applications, together with the more prevalent use of cloud computing, have inspired strong motivation for offloading computation of mobile apps to the cloud. However, there exist vulnerabilities in apps if they are offloaded in public cloud environment. In this paper, we argue that keeping sensitive information to a local device with other information offloaded would significantly reduce threats from the cloud while enjoy the benefits of cloud computing. Our mechanism divides an app into multiple parts and offloads the less vulnerable parts. To decide which parts should be kept locally to a mobile device, we develop an approach that can decide the impact of a component part (down to an individual object) on the overall vulnerability of an app. We demonstrate how our approach can be implemented with real mobile cloud applications.
安全卸载云端移动应用的漏洞评估
智能手机应用程序的日益复杂和爆炸性增长,加上云计算的更普遍使用,激发了将移动应用程序的计算卸载到云上的强烈动机。但是,如果应用程序在公有云环境下卸载,则存在漏洞。在本文中,我们认为将敏感信息保存在本地设备上,并卸载其他信息将大大减少来自云的威胁,同时享受云计算的好处。我们的机制将应用分成多个部分,并卸载不那么脆弱的部分。为了决定哪些部分应该保留在移动设备上,我们开发了一种方法,可以决定组件部分(到单个对象)对应用程序整体漏洞的影响。我们演示了如何使用真实的移动云应用程序实现我们的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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