Blockchain Data Availability Scheme with Strong Data Privacy Protection

Abstract

Blockchain, with its characteristics of non-tamperability and decentralization, has had a profound impact on various fields of society and has set off a boom in the research and application of blockchain technology. However, blockchain technology faces the problem of data availability attacks during its application, which greatly limits the scope and domain of blockchain applications. One of the most advantageous researches to address this problem is the scalable data availability solution that integrates coding theory design into the Merkle tree promise. Based on this scheme, this paper combines a zero-knowledge accumulator with higher efficiency and security with local repair coding, and proposes a data availability scheme with strong dataset privacy protection. The scheme first encodes the data block information on the blockchain to ensure tamper-proof data, and then uses a zero-knowledge accumulator to store the encoded data block information. Its main purpose is to use zero-knowledge property to protect the accumulation set information stored in the accumulator from being leaked and to ensure that no other information about the accumulation set is revealed during the data transmission. It fundamentally reduces the possibility of attackers generating fraudulent information by imitating block data and further resists data availability attacks.

Towards Data Storage, Scalability, and Availability in Blockchain Systems: A Bibliometric Analysis

“…As a result, data access, exchange, and processing are transparent and controlled. Recently, Liu et al [56] recommended a data availability scheme with robust dataset confidentiality, associating a zero-knowledge accumulator with advanced productivity and safety through local repair coding. This scheme decreases the possibility of invaders producing fraudulent data by copying the information of data blocks on the blockchain.…”

“…Recently, Sanka and Cheung [40] reviewed blockchain scalability challenges and solutions, analyzes research trends, and discusses adoption, serving as a guide for blockchain scalability research. Liu et al [56] analyzes blockchain research from 2013 to 2020, highlighting key topics and trends. China leads in this field, focusing on computer science and engineering.…”

A k-nearest neighbor query method of privacy protection for university library's self-built featured database based on real time national secret algorithm

“…The featured database refers to the classification and management of valuable information in a certain discipline or topic according to the existing information resources in the library and user requirements for information, as well as the collection, analysis, evaluation, processing, and storage of information, and the digital management in accordance with certain standards and norms. It is of great significance for university libraries to build their own featured databases, which not only highlights the distinctive specialties of universities but also brings great convenience to teachers and students' scientific research and learning [4][5]. As the interaction continues, the scale of data continues to expand, making the storage and maintenance of these data challenging for users in some private data centers [6][7].…”