Research on Data Transaction Security Based on Blockchain

Abstract

With the increasing value of various kinds of data in the era of big data, the demand of different subjects for data transactions has become more and more urgent. In this paper, a blockchain-based data transaction protection scheme is proposed to realize the secure transaction sharing among data. This paper carries out the following work: by analyzing the existing data transaction models, we find the data security and transaction protection problems, establish a third-party-free data transaction platform using blockchain, protect users’ data security by combining AES and improved homomorphic encryption technology, and upload the encrypted data to the Interplanetary File System (IPFS) for distributed storage. Finally, we use the powerful functions of the IPFS, combined with inadvertent transmission protocol, two-way authentication, zero-knowledge proof, and other security verification for data transactions. The security analysis proves that this scheme has higher security despite the time overhead, and we will continue to optimize the scheme to improve efficiency in the future.

Evolutionary Game Analysis of Data Resale Governance in Data Trading

“…The digital economy has entered a new era driven by innovative data resources, and data has become a significant factor in economic and social development. Promoting the market for data elements and their flow is necessary for economic growth and innovation [6][7][8]. The platform trading model has become an essential approach to facilitate the effective flow of data and maximize its value, while governance through platforms is an efficient way to secure data and promote its free circulation [11,36].…”

“…The increasing involvement of digital technology in production and daily life is making the economic impact of data elements increasingly prominent [1][2][3][4][5]. Data is now a critical input for decision-making among countries, businesses, and individuals [6][7][8]. However, the generation and processing of data by different entities creates ownership differences [7], resulting in data silos [9,10].…”

“…To address these gaps, this paper proposes an evolutionary game model for governance of data trading involving three parties: data suppliers, demanders, and trading platforms. The aim is to explore the mechanisms of data innovation and resale Therefore, exploring protection options and risk prevention mechanisms for data trading is crucial to ensure stakeholders', particularly owners', legal rights and efficient allocation of data elements [6,21,22]. One of the main themes in the literature on data trading governance is the role of institutions and technologies in facilitating secure and fair data trade and mitigating moral hazards.…”

A Novel Robust Geolocation-Based Multi-Factor Authentication Method for Securing ATM Payment Transactions

“…ATMs are used at practically every convenient location in today's society, including busy streets, public spaces, and other areas. Despite the fact that ATMs have been an important part of our lives since the 1960s [3][4][5][6], the authentication mechanisms that are used for transactions at ATMs have changed very little over the years [31][32][33][34]. The security flaws inherent to magnetic media are the primary cause of the constraints imposed on ATMs' ability to protect their customer transactions.…”

“…Some modern ATMs and POS systems are equipped with biometric authentication methods, such as fingerprint scanners or facial recognition. Biometric data provides a highly secure way to verify the cardholder's identity [21][22][23][30][31][32]. However, the major drawback of biometric approaches is that they require large systems with very high power and processing capability with high implementation and deployment costs.…”