FAME: Fast Attribute-based Message Encryption
Shashank Agrawal, Melissa Chase
摘要
Time and again, attribute-based encryption has been shown to be the natural cryptographic tool for building various types of conditional access systems with far-reaching applications, but the deployment of such systems has been very slow. A central issue is the lack of an encryption scheme that can operate on sensitive data very efficiently and, at the same time, provides features that are important in practice. This paper proposes the first fully secure ciphertext-policy and key-policy ABE schemes based on a standard assumption on Type-III pairing groups, which do not put any restriction on policy type or attributes. We implement our schemes along with several other prominent ones using the Charm library, and demonstrate that they perform better on almost all parameters of interest.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
引用它的顶会 Paper6
- Fine-Grained and Controlled Rewriting in Blockchains: Chameleon-Hashing Gone Attribute-BasedDavid Derler, Kai Samelin, Daniel Slamanig, Christoph StriecksNDSS 2019 · 被引用 182 次
- A case for stateless mobile core network functions in spaceYuanjie Li, Hewu Li, Wei Liu, Lixin Liu 等SIGCOMM 2022 · 被引用 59 次
- On the (In)Security of Secure ROS2Gelei Deng, Guowen Xu, Yuan Zhou, Tianwei Zhang 等CCS 2022 · 被引用 31 次
- TimeCrypt: Encrypted Data Stream Processing at Scale with Cryptographic Access ControlLukas Burkhalter, Anwar Hithnawi, Alexander Viand, Hossein Shafagh 等NSDI 2020 · 被引用 18 次
- Droplet: Decentralized Authorization and Access Control for Encrypted Data StreamsHossein Shafagh, Lukas Burkhalter, Sylvia Ratnasamy, Anwar HithnawiUSENIX Security 2020
相关 Paper
- PointAE: Point Auto-Encoder for 3D Statistical Shape and Texture ModellingHang Dai, Ling ShaoICCV 2019 · 被引用 12 次
- Learning 3D Dense Correspondence via Canonical Point AutoencoderAn-Chieh Cheng, Xueting Li, Min Sun, Ming-Hsuan Yang 等NeurIPS 2021 · 被引用 37 次
- Disentangled CVAEs with Contrastive Learning for Explainable RecommendationLinlin Wang, Zefeng Cai, Gerard de Melo, Zhu Cao 等AAAI 2023 · 被引用 6 次
- Conjugate Energy-Based ModelsHao Wu, Babak Esmaeili, Michael L. Wick, Jean-Baptiste Tristan 等ICML 2021 · 被引用 2 次
- WANDR: Intention-guided Human Motion GenerationMarkos Diomataris, Nikos Athanasiou, Omid Taheri, Xi Wang 等CVPR 2024
