A Security Evaluation of Chaos Attribute-Based Access Control (ABAC) for Cloud Computing

This article aims to introduce a cryptographic solution to enhance the security and reliability of the Attribute-Based Access Control (ABAC) model. Building upon the existing structure of attribute-based encryption, our proposal presents a new encryption model named ‘Chaos-ABAC’. This model relies on the implementation of chaotic algorithms for both transmitted data encryption and decryption. We demonstrate the resilience of this approach against various falsification attempts, ensuring heightened semantic security against attacks aimed at divulging information from plaintext. Moreover, we demonstrate the scalability of this model, allowing us to enhance its cryptographic features beyond those of existing models.