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Related Experiment Videos

Access Control Based on Ciphertext Attribute Authentication and Threshold Policy for the Internet of Things.

Qikun Zhang1, Yongjiao Li1, Zhigang Li1

  • 1School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China.

Sensors (Basel, Switzerland)
|December 5, 2019
PubMed
Summary

This study introduces a secure access control scheme for the Internet of Things (IoT). It uses attribute authentication and threshold policies to protect sensitive data and user privacy in cloud environments.

Keywords:
Internet of Thingsaccess controlattribute authenticationattribute-based encryptiondata security sharing

Related Experiment Videos

Area of Science:

  • Computer Science
  • Information Security
  • Cloud Computing

Background:

  • The proliferation of the Internet of Things (IoT) has increased data sharing and interaction, raising significant security and privacy concerns.
  • Ensuring safe data sharing, preventing sensitive information leakage, and protecting user privacy are critical challenges in IoT environments.
  • Effective access control is fundamental to establishing trust in IoT systems.

Purpose of the Study:

  • To propose a novel access control scheme for the Internet of Things (IoT) that enhances data security and user privacy.
  • To address the challenges of secure data sharing and prevent sensitive information leakage in cloud environments.
  • To implement a fine-grained and flexible access control mechanism for cloud-based IoT data.

Main Methods:

  • Development of an access control scheme based on ciphertext attribute authentication and threshold policy.
  • Utilization of hidden attribute identity authentication to verify user credentials.
  • Implementation of a threshold function based on user attributes to define permission grades.
  • Adoption of a joint identity and permission authentication method for resource acquisition.

Main Results:

  • Users are assigned different permission grades based on attribute authentication, enabling access to data of corresponding sensitivity levels.
  • The scheme achieves fine-grained, flexible, and secure data access in cloud servers.
  • Protection of personal privacy is enhanced through the proposed access control mechanism.
  • The joint authentication method effectively prevents collusion attacks by unauthorized members, improving overall security.

Conclusions:

  • The proposed access control scheme provides a robust solution for securing data in the Internet of Things.
  • It effectively balances data access needs with the imperative to protect user privacy.
  • The scheme enhances the security of resource access control in cloud environments by mitigating collusion risks.