An Access Control System Based on Blockchain with Zero-Knowledge Rollups in High-Traffic IoT Environments

Author:

Lin Xin1,Zhang Yuanyuan1,Huang Changhai2,Xing Bin34,Chen Liangyin15ORCID,Hu Dasha1,Chen Yanru1

Affiliation:

1. School of Computer Science, Sichuan University, Chengdu 610065, China

2. Sichuan GreatWall Computer System Co., Ltd., Luzhou 646000, China

3. Chongqing Innovation Center of Industrial Big-Data Co., Ltd., Chongqing 400707, China

4. National Engineering Laboratory for Industrial Big-Data Application Technology, Beijing 100040, China

5. Institute for Industrial Internet Research, Sichuan University, Chengdu 610065, China

Abstract

The access control (AC) system in an IoT (Internet of Things) context ensures that only authorized entities have access to specific devices and that the authorization procedure is based on pre-established rules. Recently, blockchain-based AC systems have gained attention within research as a potential solution to the single point of failure issue that centralized architectures may bring. Moreover, zero-knowledge proof (ZKP) technology is included in blockchain-based AC systems to address the issue of sensitive data leaking. However, current solutions have two problems: (1) systems built by these works are not adaptive to high-traffic IoT environments because of low transactions per second (TPS) and high latency; (2) these works cannot fully guarantee that all user behaviors are honest. In this work, we propose a blockchain-based AC system with zero-knowledge rollups to address the aforementioned issues. Our proposed system implements zero-knowledge rollups (ZK-rollups) of access control, where different AC authorization requests can be grouped into the same batch to generate a uniform ZKP, which is designed specifically to guarantee that participants can be trusted. In low-traffic environments, sufficient experiments show that the proposed system has the least AC authorization time cost compared to existing works. In high-traffic environments, we further prove that based on the ZK-rollups optimization, the proposed system can reduce the authorization time overhead by 86%. Furthermore, the security analysis is presented to show the system’s ability to prevent malicious behaviors.

Funder

National Natural Science Foundation of China

Sichuan Science and Technology Program

Luzhou Science and Technology Innovation R&D Program

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

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