A secure and efficient audit mechanism for dynamic shared data in cloud storage.

Area of Science:

• Computer Science
• Information Security
• Cloud Computing

Background:

• Cloud storage facilitates data sharing and updates by multiple users.
• Existing audit mechanisms for cloud data integrity face security vulnerabilities and high computational overheads.
• Dynamic shared data in cloud environments necessitates robust integrity verification.

Purpose of the Study:

• To propose a secure and efficient audit mechanism for dynamic shared data in cloud storage.
• To address security vulnerabilities and reduce computational overheads of existing audit approaches.
• To prevent malicious cloud service providers from deceiving auditors.

Main Methods:

• Development of a novel audit scheme for dynamic shared data.
• Implementation of a new index table management method.
• Utilization of less complex operations to reduce auditing costs.
• Security analysis to prove resistance against common attacks.

Main Results:

• The proposed scheme effectively prevents malicious cloud service providers from deceiving auditors.
• A significant reduction in computational cost and auditing time compared to conventional methods.
• Demonstrated resistance against various security attacks.
• Enhanced data integrity and consistency in dynamic shared cloud data.

Conclusions:

• The proposed audit mechanism is both secure and efficient for cloud storage services.
• It provides a viable solution for managing dynamic shared data with improved integrity.
• The novel approach offers a practical improvement over existing audit mechanisms in cloud environments.