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Attribute-Based Encryption with Fast Decryption

机译:基于属性的加密,快速解密

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Attribute-based encryption (ABE) is a vision of public key encryption that allows users to encrypt and decrypt messages based on user attributes. This functionality comes at a cost. In a typical implementation, the size of the ciphertext is proportional to the number of attributes associated with it and the decryption time is proportional to the number of attributes used during decryption. Specifically, many practical ABE implementations require one pairing operation per attribute used during decryption. This work focuses on designing ABE schemes with fast decryption algorithms. We restrict our attention to expressive systems without system-wide bounds or limitations, such as placing a limit on the number of attributes used in a ciphertext or a private key. In this setting, we present the first key-policy ABE system where ciphertexts can be decrypted with a constant number of pairings. We show that GPSW ciphertexts can be decrypted with only 2 pairings by increasing the private key size by a factor of |Γ|, where Γ is the set of distinct attributes that appear in the private key. We then present a generalized construction that allows each system user to independently tune various efficiency tradeoffs to their liking on a spectrum where the extremes are GPSW on one end and our very fast scheme on the other. This tuning requires no changes to the public parameters or the encryption algorithm. Strategies for choosing an individualized user optimization plan are discussed. Finally, we discuss how these ideas can be translated into the ciphertextpolicy ABE setting at a higher cost.
机译:基于属性的加密(ABE)是公钥加密的愿景,允许用户基于用户属性加密和解密消息。此功能以成本为止。在典型的实现中,密文的大小与与它相关联的属性的数量成比例,并且解密时间与解密期间使用的属性的数量成比例。具体地,许多实际的ABE实现需要在解密期间使用的每个属性配对操作。这项工作侧重于设计具有快速解密算法的ABE方案。我们将注意力限制在没有系统范围的界限或限制的情况下对表现力的系统,例如放置限制密文中使用的属性数或私钥。在此设置中,我们介绍了第一个密钥策略abe系统,其中密文可以用常量数量的配对解密。我们显示GPSW密文只能通过增加私钥大小的私钥大小来使用2个配对进行解密,其中γ是私钥中出现的不同属性的集合。然后,我们展示了一个广义结构,允许每个系统用户独立地调整各种效率权衡,以便他们喜欢极端在一端的频谱和我们非常快的方案。此调整不需要对公共参数或加密算法进行更改。讨论了选择个性化用户优化计划的策略。最后,我们讨论这些想法如何以更高的成本转换为密封折叠的ABE设置。

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