Attribute-Based Authentication Based on Biometrics and RSA-Hyperchaotic Systems

Attribute-based authentication is a security technique that allows access to resources according to characteristics of human biometrics. It confirms the security and increases the efficiency of applications, devices, and resources by controlling them and avoiding cyberattacks. Standard feature extraction approaches can also give erroneous results and limit processing efficiency when processing complex biometric data. This paper proposes a hybrid method combining the Rivest-Shamir-Adleman (RSA) method with 6D hyperchaotic systems to generate dynamic and sophisticated keys for key exchange in a more secure and effective authentication system. User attributes like ID and fingerprint are used for attribute-based authentication by extracting fingerprint features (Minutiae extraction) for biometric matching. The 6D-hyperchaotic systems generate dynamic values over time, influenced by the initial values and input constants. Three of the generated sequences were used on the sender side, and the other three sequences were used on the receiver side after processing them to satisfy the RSA condition. The time consumed for generation numbers is about 0.0717 msec. The results indicated that the system that produces the keys has robust resistance to statistical attacks. The average time for authentication is 0.307867 sec. Thus, the research presents an integrated solution that improves authentication system security and dependability, especially in critical areas that demand sophisticated data and user protection. The user identity verification reached 95.14% accuracy, and the proposed method could be integrated with the extended system by adding a node.