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BeeKeeper 2.0: Confidential Blockchain-Enabled IoT System with Fully Homomorphic Computation
Lijing Zhou1, Licheng Wang2, Tianyi Ai3
1State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China. zhoulj@bupt.edu.cn.
This study introduces a novel decentralized outsourcing computation (DOC) scheme for confidential blockchain-enabled Internet of Things (IoT) systems. The system, BeeKeeper 2.0, enables servers to process encrypted data without compromising privacy, ensuring secure IoT data computation.
Area of Science:
- Computer Science
- Cybersecurity
- Distributed Systems
Background:
- Blockchain-enabled Internet of Things (IoT) systems are gaining traction.
- Existing systems risk sensitive data leakage as servers access plaintext device data.
- Need for secure computation on encrypted data in IoT environments.
Purpose of the Study:
- To propose a decentralized outsourcing computation (DOC) scheme for secure blockchain-enabled IoT.
- To develop a confidential blockchain-enabled IoT system, BeeKeeper 2.0, preventing server access to plaintext data.
- To enable servers to perform any-degree homomorphic computations on encrypted IoT data.
Main Methods:
- Development of a decentralized outsourcing computation (DOC) scheme.
- Application of DOC to create the BeeKeeper 2.0 system for confidential blockchain-enabled IoT.
- Implementation on Hyperledger Fabric and performance testing using Hyperledger Caliper.
Main Results:
- Servers perform fully homomorphic computations on encrypted data without accessing plaintext.
- Dishonest servers can be detected by the data owner.
- BeeKeeper 2.0 achieves secure, confidential data processing in blockchain-enabled IoT systems.
- The system demonstrates efficient performance, with a request-to-recovery time under 3.3 seconds.
Conclusions:
- The proposed DOC scheme and BeeKeeper 2.0 system effectively address privacy concerns in blockchain-enabled IoT.
- This represents a novel approach enabling secure, any-degree homomorphic computation on encrypted IoT data.
- The system's performance is suitable for production needs, offering a secure and efficient solution.
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