RevokAll: Hardware-Assisted Revocable Data Sharing Framework for Full Data Traffic With Rapid Deployment in Cloud-Edge
Secure cloud-edge data sharing has been researched recently to provide high quality on-demand data service. Attribute-based encryption (ABE) is a promising solution that achieves data confidentiality and flexible access control simultaneously. But three major issues remain when adapting ABE in cloud-edge, namely reliable user revocation, high performance on devices, and trust issues of public cloud. First, existing direct user revocation mechanisms focus on preventing a revoked user from decrypting header ciphertexts even when key exposure occurs, but ignore the payload security. Second, how to conveniently apply deployment on diverse platforms and run programs on resource-constrained devices with high efficiency is a challenge. Finally, no universal guarantee of cloud computation and management tasks, thus lazy or malicious cloud may not follow the protocol and perform improper actions on purpose. In this work, we propose a Hardware-Assisted Hybrid Fully Outsourced Revocable Attribute-Based Proxy Re-Encryption (H²O-RABPRE) scheme that supports reliable user revocation for full data traffic and hardware-assisted fully outsourced computation. Moreover, we design a hardware-assisted data-sharing framework with rapid deployment for cloud-edge, which integrates the developed SGX-MCL to protect outsourced tasks executed by cloud/edge devices against malicious behaviors and utilizes the enhanced WebAssembly runtime, WasmCrypto, a unified deployment approach for IoT devices with near-native performance. We implement the scheme on an SGX cloud server, a laptop, a Raspberry Pi, and an ESP32 board, and the results indicate that the proposed scheme is practical.
Authors
- Yuzhe Li (ORCID: https://orcid.org/0000-0003-1720-4985)
- Hui Ma (ORCID: https://orcid.org/0000-0001-8359-5158)
- Jianting Ning (ORCID: https://orcid.org/0000-0001-7165-398X)
- Shuaishuai Chang
- Bo Li (ORCID: https://orcid.org/0000-0001-6709-0942)
- Weiping Wang (ORCID: https://orcid.org/0000-0002-8618-4992)
- Lin Su (ORCID: https://orcid.org/0000-0001-9973-4810)
Institutions
- Chinese Academy of Sciences (CN)
- Wuhan University (CN)
- Institute of Information Engineering (CN)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- IEEE Transactions on Information Forensics and Security
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1109/tifs.2025.3583490
- Citations
- 1
- Primary Topic
- Cloud Computing and Resource Management
- Type
- article
- Field-Weighted Citation Impact
- 3.25
Funders
- National Natural Science Foundation of China