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Decentralized Policy-Hidden Fine-Grained Redaction in Blockchain-Based IoT Systems.
Hongchen Guo1, Xiaolong Tao2, Mingyang Zhao2
1School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China.
Sensors (Basel, Switzerland)
|August 26, 2023
Summary
This study introduces PFRB, a novel policy-hidden redactable blockchain for IoT systems. PFRB enhances data security by protecting users' redaction policies, preventing privacy leaks in decentralized applications.
Area of Science:
- Computer Science
- Information Security
- Internet of Things
Background:
- Decentralized redactable blockchains are used in IoT for data management.
- Existing systems lack policy privacy, leading to sensitive information leakage.
- This limits the application scope of redactable blockchains in IoT.
Purpose of the Study:
- To propose PFRB, a policy-hidden, fine-grained redactable blockchain for decentralized IoT systems.
- To address the privacy leakage threat posed by users' redaction policies.
- To enable secure and controllable data management in IoT environments.
Main Methods:
- PFRB utilizes decentralized settings and chameleon hash-based redaction.
- Policy contents are converted into polynomial parameters using Newton's interpolation formula.
- Multi-authority attribute-based encryption is employed to hide policy parameters.
- Policy matching is performed while keeping policy contents concealed.
Main Results:
- Theoretical analysis confirms the correctness and security against chosen-plaintext attacks.
- Experiments on the FISCO blockchain platform demonstrate competitive efficiency.
- PFRB effectively hides policy contents during matching, preventing inference.
- Valid redactions are only executable upon successful policy matching.
Conclusions:
- PFRB successfully bridges the research gap in policy privacy for redactable blockchains in IoT.
- The proposed system enhances user privacy and expands the applicability of redactable blockchains.
- PFRB offers a secure, efficient, and privacy-preserving solution for data management in IoT systems.
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