A Blockchain and Attribute-Based Encryption Scheme for Hazardous Materials Circulation Data Sharing

Journal Title: International Journal of Knowledge and Innovation Studies - Year 2024, Vol 2, Issue 1

Abstract

The regulatory system for hazardous materials is complex, with poor inter-departmental communication and low levels of data sharing, making effective regulation challenging. Blockchain technology, known for its decentralization, traceability, and secure and trustworthy information, is widely applied in data sharing. Concurrently, attribute-based encryption (ABE), a novel encryption technique, offers high security and fine-grained access control, providing technical support for secure data access and privacy protection. However, existing attribute encryption algorithms do not consider the hierarchical relationship of access structures among data files during data sharing. Moreover, the immutable nature of blockchain means that access policies stored on it cannot be altered, leading to a lack of flexibility in data sharing. To address these issues, this paper proposes a blockchain and attribute-based dynamic layered access scheme for hazardous materials circulation data sharing. By constructing a Linear Secret-Sharing Scheme (LSSS) matrix, layered access control is achieved, allowing data decryption related to the matching parts of a user's attributes with the access structure. Additionally, through the design of a policy update algorithm, the blockchain structure is organized into transaction blocks and policy blocks, storing the encrypted symmetric keys separately to enable dynamic updates of access policies. Security analysis and experimental comparisons demonstrate the scheme's effectiveness and security in hazardous materials circulation data sharing.

Authors and Affiliations

Xuewei Li, Jialin Ma, Ashim Khadka

Keywords

Related Articles

A Method for Creative Scheme Generation for Brand Design of Plush Toys Based on Extension Theory

In the era of branding, the design of plush toy brands often faces a contradiction with the needs of target user groups. Addressing the brand transformation challenges faced by small and micro enterprises in the plush to...

Enhanced Detection of Soybean Leaf Diseases Using an Improved Yolov5 Model

To facilitate early intervention and control efforts, this study proposes a soybean leaf disease detection method based on an improved Yolov5 model. Initially, image preprocessing is applied to two datasets of diseased s...

Advanced Estimation of Orange Tree Age Using Fuzzy Inference and Linear Regression Models

The accurate estimation of the age of orange trees is a critical task in orchard management, providing valuable insights into tree growth, yield prediction, and the implementation of optimal agricultural practices. Tradi...

AMBERT-DWPM: An Adaptive Masking and Dynamic Prototype Learning Framework for Few-Shot Text Classification

Transformer-based language models have demonstrated remarkable success in few-shot text classification; however, their effectiveness is often constrained by challenges such as high intraclass diversity and interclass sim...

Enhanced Global Image Segmentation: Addressing Pixel Inhomogeneity and Noise with Average Convolution and Entropy-Based Local Factor

In the field of computer vision and digital image processing, the division of images into meaningful segments is a pivotal task. This paper introduces an innovative global image segmentation model, distinguished for its...

Download PDF file
  • EP ID EP744647
  • DOI https://doi.org/10.56578/ijkis020103
  • Views 50
  • Downloads 0

How To Cite

Xuewei Li, Jialin Ma, Ashim Khadka (2024). A Blockchain and Attribute-Based Encryption Scheme for Hazardous Materials Circulation Data Sharing. International Journal of Knowledge and Innovation Studies, 2(1), -. https://europub.co.uk/articles/-A-744647