scispace - formally typeset
Journal ArticleDOI

An Efficient Ciphertext-Policy Weighted Attribute-Based Encryption for the Internet of Health Things

TLDR
Wang et al. as discussed by the authors proposed a ciphertext-policy weighted attribute-based encryption (CP-WABE) scheme for the Internet of Health Things (IoHT), which supports both weighted attributes and any form of comparison of weighted attributes.
Abstract
The Internet of Health Things (IoHT) is a concept that describes uniquely identifiable devices connected to the Internet and able to communicate with each other in the medical area. As one of the most important components of smart health monitoring and improvement systems, there are numerous challenges in the IoHT, among which cybersecurity is a major challenge that must be addressed with priority. As a well-received security solution to achieve fine-grained access control, ciphertext-policy weighted attribute-based encryption (CP-WABE) has the potential to ensure data security in the IoHT. However, many issues, such as inflexibility, poor computational capability, and insufficient storage efficiency in attributes comparison, remain. To address these issues, we propose a novel access policy expression method using 0-1 coding technology. Based on this method, a flexible and efficient CP-WABE is constructed for the IoHT. Our scheme supports not only weighted attributes but also any form of comparison of weighted attributes. Furthermore, we use offline/online encryption and outsourced decryption technology to ensure that the scheme can run on an inefficient IoT terminal. Both theoretical and experimental analyses show that our scheme is more efficient and feasible than other schemes. Moreover, security analysis indicates that our scheme achieves security against chosen-plaintext attack.

read more

Citations
More filters
Journal ArticleDOI

Constructing a prior-dependent graph for data clustering and dimension reduction in the edge of AIoT

TL;DR: A prior-dependent graph (PDG) construction method can achieve substantial performance, which can be deployed in edge computing module to provide efficient solutions for massive data management and applications in AIoT.
Journal ArticleDOI

Early and accurate prediction of diabetics based on FCBF feature selection and SMOTE

TL;DR: This work proposes a machine learning-based healthcare model for accurate and early detection of diabetics and shows few relevant features are needed to enhance the accuracy of the developed model.
Journal ArticleDOI

A novel trust-based security and privacy model for Internet of Vehicles using encryption and steganography

TL;DR: In this article , the authors presented a trust-driven privacy method using encryption and steganography for real-time Internet of Vehicles (IoV) communication. But the proposed method is not suitable for the use of autonomous vehicles.
Journal ArticleDOI

IoMT: A COVID-19 Healthcare System Driven by Federated Learning and Blockchain

TL;DR: This paper proposes privacy infrastructure based on federated learning and blockchain technology that can effectively resolve the issue of large data silos and provide a shared model while preserving the privacy of data owners and information security and privacy analyses show that the proposed infrastructure is robust against information security related attacks.
Journal ArticleDOI

Image super-resolution reconstruction for secure data transmission in Internet of Things environment

TL;DR: Li et al. as discussed by the authors proposed a self-attention-based image reconstruction method for secure data transmission in IoT environment, where the residual network structure and sub-pixel convolution are used to extract the feature of the image.
Related Papers (5)