An environmental monitoring data sharing scheme based on attribute encryption in cloud-fog computing

Area of Science:

• Environmental Science
• Computer Science
• Information Security

Background:

• Environmental monitoring is crucial for resource management but faces security challenges due to data transmission over insecure channels.
• Existing methods struggle to ensure the confidentiality, integrity, and verifiability of sensitive environmental data.
• Malicious attacks can compromise the reliability of environmental monitoring systems.

Purpose of the Study:

• To propose a novel, secure data sharing scheme for environmental monitoring data.
• To enhance the confidentiality, integrity, verifiability, and unforgerability of environmental monitoring data.
• To leverage attribute-based encryption, identity-based signatures, and cloud computing for robust data security.

Main Methods:

• Utilizing attribute-based encryption (ABE) for privacy protection and fine-grained access control.
• Implementing identity-based signatures (IBS) to ensure data integrity and unforgeability.
• Employing cloud and fog computing for efficient data storage, access, and decryption.
• Encrypting data at the monitoring source and decrypting at fog nodes upon authorized access.

Main Results:

• The proposed scheme effectively protects the privacy and ensures fine-grained access control of monitoring data through ABE.
• Data integrity and unforgeability are guaranteed by the integrated digital signature mechanism.
• Outsourcing computing via cloud technology reduces the computational burden on monitoring devices and users.
• Security analysis confirms the proposed scheme meets its security objectives.

Conclusions:

• The developed data sharing scheme provides a secure and efficient solution for environmental monitoring.
• The integration of ABE, IBS, and cloud computing offers a robust framework for protecting sensitive environmental data.
• The scheme demonstrates superior security and performance compared to existing methods, making it suitable for real-world applications.