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Edge-Based Efficient Search over Encrypted Data Mobile Cloud Storage

机译:基于边缘的加密数据移动云存储高效搜索

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摘要

Smart sensor-equipped mobile devices sense, collect, and process data generated by the edge network to achieve intelligent control, but such mobile devices usually have limited storage and computing resources. Mobile cloud storage provides a promising solution owing to its rich storage resources, great accessibility, and low cost. But it also brings a risk of information leakage. The encryption of sensitive data is the basic step to resist the risk. However, deploying a high complexity encryption and decryption algorithm on mobile devices will greatly increase the burden of terminal operation and the difficulty to implement the necessary privacy protection algorithm. In this paper, we propose ENSURE (EfficieNt and SecURE), an efficient and secure encrypted search architecture over mobile cloud storage. ENSURE is inspired by edge computing. It allows mobile devices to offload the computation intensive task onto the edge server to achieve a high efficiency. Besides, to protect data security, it reduces the information acquisition of untrusted cloud by hiding the relevance between query keyword and search results from the cloud. Experiments on a real data set show that ENSURE reduces the computation time by 15% to 49% and saves the energy consumption by 38% to 69% per query.
机译:配备智能传感器的移动设备可感测,收集和处理由边缘网络生成的数据以实现智能控制,但是此类移动设备通常具有有限的存储和计算资源。移动云存储由于其丰富的存储资源,强大的可访问性和较低的成本而提供了一种有前途的解决方案。但这也带来了信息泄漏的风险。敏感数据的加密是抵抗风险的基本步骤。但是,在移动设备上部署高复杂度的加密和解密算法将大大增加终端操作的负担,并增加实施必要的隐私保护算法的难度。在本文中,我们提出了ENSURE(效率和安全性),这是一种基于移动云存储的高效且安全的加密搜索架构。 ENSURE受到边缘计算的启发。它允许移动设备将计算密集型任务卸载到边缘服务器上,以实现高效率。此外,为了保护数据安全,它通过隐藏查询关键字和来自云的搜索结果之间的相关性来减少不可信云的信息获取。在真实数据集上进行的实验表明,ENSURE将每个查询的计算时间减少了15%至49%,并将能耗降低了38%至69%。

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