Towards Big Data Security Framework by Leveraging Fragmentation and Blockchain Technology

Abstract

The world is facing a growth in the amount and variety of data generated by both users and machines. Despite the exponential increases, the tools and technologies developed to manage these data volumes are not intended to meet security and data protection requirements. Additionally, most of the current big data security systems are offered by a centralized third party, which is vulnerable to many security threats. Blockchain technology plays a significant role by addressing modern technology concerns such as decentralization, non-tampering, trust, data ownership, and traceability, making it great potential to protect personal information. This research presents a new big data security solution empowered by blockchain technology and incorporates fragmentation, encryption, and access control techniques. Our proposed fragmentation algorithm takes into account the data owner's demand for encryption to be added to the fragmentation process. Furthermore, data fragments will be stored in the distributed manner offered by the big data environment, resulting in an additional layer of data protection. In order to achieve an optimal security solution, we aim to enhance big data security with acceptable overhead and avoid the encryption overhead for non-sensitive and low-sensitive data portions. We present the results of our implemented techniques to highlight that the overheads (in terms of computation time) introduced by our solution are negligible relative to its security and privacy gains.

IBMESR: Towards Next-Generation Big Data Security with An Integrated Blockchain Model for Efficient, Scalable, and Robust Operations

“…As the architecture and functionalities of cloud services have evolved, so have the security challenges and solutions [16,17,18]. Existing models have sought to address various aspects, from data integrity and confidentiality to secure access and trust levels [19,20]. This section provides a comprehensive review of the existing models designed to enhance the security of cloud deployments, exploring their methods, merits, and drawbacks.…”

A Big Data Security Architecture Based on Blockchain and Trusted Data Cloud Center

“…Alhazmi et al [9] proposed a big data security framework by using blockchain technology and combining fragmentation, encryption, and access control technology to encrypt and protect all process data and realize data security protection. The disadvantage of the scheme is that it has high computational overhead and does not provide an interface for users to access.…”

“…First step: checking timestamps t s and service expiration time of the pid i The bcBIM model ensures data tracking, authentication, and tamper prevention It is only applicable to the analysis of building information modeling, and its universality is not strong Alhazmi et al (2022) [9] Fully ensure the security of data The computational overhead is large, and there is no interface for user access…”

“…DDC realizes decentralized storage of data through blockchain technology. As a miner node in the block, each storage service provider obtains data storage rights and rewards through random number election mechanism [9]. A complete data is randomly divided into n parts, and each part can be represented as part i (I, (1, n)) and stored in m different cloud miner nodes.…”

“…All data are stored in different cloud service provider nodes, and each miner node has different data fragments to ensure the reliability and security of data. Cloud service providers in the scheme need to provide corresponding data backup and save the data recovery path to ensure high data disaster tolerance [9,10,16].…”