Redactable blockchain with anonymity and multi-permission for instructional management

An instructional management system (IMS) regularly manages student data with a centralized database, which may be prone to single points of failure and data tampering. Blockchain can effectively solve the above problems due to its decentralization and immutability. However, the immutability of blockchain restricts the edit of data in some cases (e.g., incorrect score records). In this paper, we propose an advanced decentralized instructional management framework based on redactable blockchain, wherein chain nodes possess the capability to autonomously revise their initiated transactions with regular chameleon hash functions. Concurrently, system users can anonymously report discrepancies or erroneous entries within the blockchain. When such reports are validated and malicious activities are confirmed, the review team can undertake decentralized modifications to rectify the malicious content with our proposed scheme. In addition, we conduct a security analysis of the scheme, evaluating its correctness, collision resistance, and claimability. Finally, experimental results demonstrate that the scheme is practical. • Enhanced anonymity and claimability of the identity of whistleblowers. • Robust editing permission restriction by tripartite constraint mechanism. • Comprehensive security analysis, excellent performance, and adaptability in instructional management applications.

Authors

Publication Details

Journal
Blockchain Research and Applications
Published
2024-12-19
DOI
https://doi.org/10.1016/j.bcra.2024.100247
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Redactable blockchain with anonymity and multi-permission for instructional management

Jin Zou, Y. Thomas Hou, Fengyin Li, Jing Liu et al.
Blockchain Research and Applications
Blockchain Technology Applications and Security
article

Redactable blockchain with anonymity and multi-permission for instructional management

Jin Zou, Y. Thomas Hou, Fengyin Li, Jing Liu, Xiuhua Lu
article en

Abstract

An instructional management system (IMS) regularly manages student data with a centralized database, which may be prone to single points of failure and data tampering. Blockchain can effectively solve the above problems due to its decentralization and immutability. However, the immutability of blockchain restricts the edit of data in some cases (e.g., incorrect score records). In this paper, we propose an advanced decentralized instructional management framework based on redactable blockchain, wherein chain nodes possess the capability to autonomously revise their initiated transactions with regular chameleon hash functions. Concurrently, system users can anonymously report discrepancies or erroneous entries within the blockchain. When such reports are validated and malicious activities are confirmed, the review team can undertake decentralized modifications to rectify the malicious content with our proposed scheme. In addition, we conduct a security analysis of the scheme, evaluating its correctness, collision resistance, and claimability. Finally, experimental results demonstrate that the scheme is practical. • Enhanced anonymity and claimability of the identity of whistleblowers. • Robust editing permission restriction by tripartite constraint mechanism. • Comprehensive security analysis, excellent performance, and adaptability in instructional management applications.

Blockchain Research and ApplicationsVol. 6(1)
Qufu Normal University, Natural Science Foundation of Shandong Province
Quality Education
Openalex Percentile: Top 63%
Blockchain Technology Applications and Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Redactable blockchain with anonymity and multi-permission for instructional management — Jin Zou, Y. Thomas Hou, et al. · Blockchain Research and Applications (2024) | TGRS Research Map | TGRS