MK-RS-PKE: Multi-Keyword Ranked Searchable Public-Key Encryption for Cloud-Assisted Lightweight Platforms

I. Mouri, Muhammad Ridowan, Muhammad Abdullah Adnan
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Abstract

Since more and more data from lightweight platforms like IoT devices or mobile apps are being outsourced to the cloud, the need to ensure privacy while retaining data usability is essential. This paper designs a framework where lightweight platforms like IoT devices can encrypt documents and generate document indexes using the public key before uploading the document to the cloud. An admin can search and retrieve the top-k most relevant documents that match a multi-keyword query using the private key. Most existing searchable encryption that supports IoT returns all the documents matching queried keywords. However, IoT devices can produce massive data, which is not practical for such schemes. We formally name our framework Multi-keyword Ranked Searchable Public-Key Encryption (MK-RS-PKE).
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面向云辅助轻量级平台的多关键字排名可搜索公钥加密
由于越来越多来自物联网设备或移动应用等轻量级平台的数据被外包给云,因此在保持数据可用性的同时确保隐私的需求至关重要。本文设计了一个框架,在将文档上传到云端之前,物联网设备等轻量级平台可以使用公钥对文档进行加密并生成文档索引。管理员可以使用私钥搜索和检索与多关键字查询匹配的前k个最相关的文档。大多数现有的支持物联网的可搜索加密都会返回与查询关键字匹配的所有文档。然而,物联网设备可以产生大量数据,这对于此类方案来说是不切实际的。我们正式命名我们的框架为多关键字排名可搜索公钥加密(MK-RS-PKE)。
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Session details: Session 7: Encryption and Privacy RS-PKE: Ranked Searchable Public-Key Encryption for Cloud-Assisted Lightweight Platforms Prediction of Mobile App Privacy Preferences with User Profiles via Federated Learning Building a Commit-level Dataset of Real-world Vulnerabilities Shared Multi-Keyboard and Bilingual Datasets to Support Keystroke Dynamics Research
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