Evidence map›Paper›PMID 37050502›Full record

ArticleSensors (Basel, Switzerland)2023

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

Xin Lin, Yuanyuan Zhang, Changhai Huang, Bin Xing, Liangyin Chen, Dasha Hu, Yanru Chen

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Xin LinSchool of Computer Science, Sichuan University, Chengdu 610065, China.
Yuanyuan ZhangSchool of Computer Science, Sichuan University, Chengdu 610065, China.
Changhai HuangSichuan GreatWall Computer System Co., Ltd., Luzhou 646000, China.
Bin XingChongqing Innovation Center of Industrial Big-Data Co., Ltd., Chongqing 400707, China.
Liangyin ChenSchool of Computer Science, Sichuan University, Chengdu 610065, China.ORCID 0000-0001-6166-890X
Dasha HuSchool of Computer Science, Sichuan University, Chengdu 610065, China.
Yanru ChenSchool of Computer Science, Sichuan University, Chengdu 610065, China.

Funding

Luzhou Science and Technology Innovation RD Program 2022CDLZ-6National Natural Science Foundation of China 62072319Sichuan Science and Technology Program 2023YFQ0022, 2022YFG0041
6 · The paper itself

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.

Indexed as

access controlblockchainzero-knowledge proofzero-knowledge rollups

Identifiers

PMID37050502
PMCPMC10098902

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.