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An attribute-based framework for privacy preserving image querying

机译:基于属性的隐私保护图像查询框架

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We are specifically concerned with scenarios in which multimedia data is stored once on the server and the same data is queried by multiple parties. We propose a framework for privacy preserving querying, in which encryption is performed only once, and the ciphertexts are stored on a database server. Rather than using public-key homomorphic cryptosystems, the parties querying the database first derive an “attribute” from their query signal. They can decrypt the server's ciphertext only if their attribute satisfies a specified mathematical condition. This query-specific decryption capability makes attribute-based cryptography a vital addition to the secure signal processor's toolkit. We give an example of a construction for privacy preserving querying, in which a client can privately retrieve an image from the server if attribute vectors extracted from the server's and client's images are close enough in Euclidean distance.
机译:我们特别关注以下情形:多媒体数据一次存储在服务器上,并且同一方被多方查询。我们提出了一个用于隐私保护查询的框架,该框架仅执行一次加密,密文存储在数据库服务器上。与使用公共密钥同态密码系统不同,查询数据库的各方首先从其查询信号中得出“属性”。只有当他们的属性满足指定的数学条件时,他们才能解密服务器的密文。这种特定于查询的解密功能使基于属性的加密成为安全信号处理器工具包的重要补充。我们给出了一个用于隐私保护查询的构造示例,其中如果从服务器和客户端图像中提取的属性向量在欧几里得距离上足够接近,则客户端可以从服务器私下检索图像。

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