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A Secure Anti-Collusion Data Sharing Scheme for Dynamic Groups in the Cloud

Project Code: 25P4U21

Abstract

This research proposes a novel secure data sharing scheme for dynamic groups in cloud environments, mitigating the risk of collusion attacks. The scheme utilizes advanced cryptographic techniques to ensure data confidentiality, integrity, and availability while accommodating changes in group membership. Our approach effectively addresses the challenges of managing access control in dynamic settings and prevents unauthorized data access even when multiple colluding users attempt to compromise the system. Evaluation demonstrates significant improvements in security and efficiency compared to existing methods.

Introduction

Cloud computing enables efficient data storage and sharing, but security concerns remain paramount, particularly within dynamic groups where membership changes frequently. Traditional access control mechanisms often struggle to adapt to these dynamic environments, making them vulnerable to insider threats and collusion attacks. A crucial gap exists in providing secure data sharing that simultaneously prevents collusion and efficiently handles membership updates. This research addresses this gap by developing a robust and adaptable data sharing scheme specifically designed to withstand collusion attempts in dynamic cloud settings.

Objectives

  • Design a secure and efficient data sharing scheme resilient to collusion attacks.
  • Develop a dynamic access control mechanism that adapts to frequent group membership changes.
  • Evaluate the performance and security of the proposed scheme against existing methods.

Demo Video

Project Information

Domain: Cloud Security, Group Data Sharing

Year: 2025

Technologies: Cryptography, Group Key Management, Python, Access Control

Platform: Cloud Platform / Web-based