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Online/offline attribute-based encryption with keyword search against Keyword Guessing Attack

机译:基于在线/离线属性的加密,针对关键字猜测攻击进行关键字搜索

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With the exposure of security events in cloud storage, encrypting data before uploading has become the most favorable choice for cloud users, which makes search on encrypted data an important issue. Attribute-based encryption with keyword search (ABKS), which achieves data access control and search on encrypted data at the same time, has risen in response to the proper time and conditions. Traditional ABKS schemes are bounded to low efficiency and the security problem of Keyword Guessing Attack (KGA). We proposed a novel ABKS scheme named O2ABKS, which adopts the online/offline technique to enhance the efficiency, and designs an index generation mechanism that requires the private key of data owner to deal with the challenging concern of KGA. The scheme is proved to be IND-CKA and IND-KGA secure under the standard model. Compared with other schemes, our scheme is more expressive, efficient and applicable to cloud storage.
机译:随着云存储中安全事件的暴露,在上传之前对数据进行加密已成为云用户的最佳选择,这使对加密数据的搜索成为一个重要问题。带有关键字搜索(ABKS)的基于属性的加密可以实现数据访问控制,并同时对加密的数据进行搜索,它已经在适当的时机和条件下得到了发展。传统的ABKS方案受限于效率低下和关键字猜测攻击(KGA)的安全性问题。我们提出了一种名为O2ABKS的新型ABKS方案,该方案采用了在线/离线技术来提高效率,并设计了一种索引生成机制,该机制需要数据所有者的私钥来应对KGA的挑战性问题。在标准模型下,该方案被证明是IND-CKA和IND-KGA安全的。与其他方案相比,我们的方案更具表现力,效率更高,适用于云存储。

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