Resilient and Redactable Blockchain With Two-Level Rewriting and Version Detection

The immutability of blockchain has exposed its limitations in adapting to rapidly evolving legal requirements and preventing malicious misuse. To address these issues, transaction-level redactable blockchain solutions based on the policy-based chameleon hash (PCH) have been introduced. These solutions allow users to create transactions and encrypt trapdoors under specific attribute policies. However, current transaction-level rewriting schemes face two security challenges: Firstly, transactions encrypted with the invalid trapdoor are difficult to rewrite; Secondly, due to lacking version detection on transactions, malicious modifiers may rollback the version of the transaction to launch a reversion attack. In this paper, we present a resilient and redactable blockchain (RRB) with 2-level rewriting and transaction version detection. Specifically, we propose a new redactable blockchain structure that supports both transaction-level and block-level rewriting. To tackle the invalid trapdoor problem, we propose two protocols: a fine-grained, controllable transaction-level rewriting protocol and a centrally controlled block-level rewriting protocol. Moreover, for the transaction reversion attack, we design a version detection mechanism for RRB by using an accumulator. Through security analysis and performance evaluation, we demonstrate the security and practicality of our RRB scheme.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Information Forensics and Security
Published
2024-12-20
DOI
https://doi.org/10.1109/tifs.2024.3520830
Citations
7
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
5.45
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Resilient and Redactable Blockchain With Two-Level Rewriting and Version Detection

Haipeng Peng, Junke Duan, Zilin Zhao, Xiaoya Hu et al.
7 citations
IEEE Transactions on Information Forensics and Security
Cloud Computing and Resource Management
5.45
article

Resilient and Redactable Blockchain With Two-Level Rewriting and Version Detection

Haipeng Peng, Junke Duan, Zilin Zhao, Xiaoya Hu, Wei Wang, Licheng Wang
article en
7 citations

Abstract

The immutability of blockchain has exposed its limitations in adapting to rapidly evolving legal requirements and preventing malicious misuse. To address these issues, transaction-level redactable blockchain solutions based on the policy-based chameleon hash (PCH) have been introduced. These solutions allow users to create transactions and encrypt trapdoors under specific attribute policies. However, current transaction-level rewriting schemes face two security challenges: Firstly, transactions encrypted with the invalid trapdoor are difficult to rewrite; Secondly, due to lacking version detection on transactions, malicious modifiers may rollback the version of the transaction to launch a reversion attack. In this paper, we present a resilient and redactable blockchain (RRB) with 2-level rewriting and transaction version detection. Specifically, we propose a new redactable blockchain structure that supports both transaction-level and block-level rewriting. To tackle the invalid trapdoor problem, we propose two protocols: a fine-grained, controllable transaction-level rewriting protocol and a centrally controlled block-level rewriting protocol. Moreover, for the transaction reversion attack, we design a version detection mechanism for RRB by using an accumulator. Through security analysis and performance evaluation, we demonstrate the security and practicality of our RRB scheme.

IEEE Transactions on Information Forensics and SecurityVol. 20
Beijing Institute of Technology (CN), Beijing University of Posts and Telecommunications (CN), CRRC (China) (CN)
Climate action
Openalex Percentile: Top 4%
Cloud Computing and Resource Management
5.45
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.

Resilient and Redactable Blockchain With Two-Level Rewriting and Version Detection — Haipeng Peng, Junke Duan, et al. · IEEE Transactions on Information Forensics and Security (2024) | TGRS Research Map | TGRS