Succinct and Adaptively Secure ABE for ABP from k-Lin
Succinct and Adaptively Secure ABE for ABP from k-Lin
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DOI：
10.1007/978-3-030-64840-4_15
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Huijia Lin;Ji Luo
中科院分区：
文献类型：
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作者：
Huijia Lin;Ji Luo
针对算术分支程序，提出了一种简洁且自适应安全的基于属性的加密方案，该方案基于配对组中的Onk-Lin。我们的密钥策略ABE方案具有与属性长度无关的恒定大小的密文，而我们的密文策略ABE方案具有恒定大小的密钥。我们的方案改进了最近在[Tomida and Attrapadung，ePrint‘20]中的简洁的ABE方案，后者只处理布尔公式。现有的所有简明ABE方案要么只能实现选择性安全，要么依赖于Q型假设。我们的方案是通过一种通用的模块化方法获得的，该方法结合了满足渐进式模拟安全的公钥内积函数加密和称为算术密钥混淆方案的信息论随机编码方案。
We presentsuccinctandadaptively secureattribute-based encryption (ABE) schemes forarithmetic branching programs, based onk-Lin in pairing groups. Our key-policy ABE scheme has ciphertexts ofconstant size, independent of the length of the attributes, and our ciphertext-policy ABE scheme has secret keys ofconstant size. Our schemes improve upon the recent succinct ABE schemes in [Tomida and Attrapadung, ePrint ’20], which only handles Boolean formulae. All other prior succinct ABE schemes either achieve only selective security or rely onq-type assumptions.Our schemes are obtained through a general and modular approach that combines a public-key inner product functional encryption satisfying a new security notion called gradual simulation security and an information-theoretic randomized encoding scheme called arithmetic key garbling scheme.