Abstract: The proliferation of cloud computing exposes sensitive data to the risk of unauthorized access, as traditional access control mechanisms are often inadequate for this dynamic environment. To address these shortcomings, this article proposes a novel access control scheme, named STM-ABAC, which is based on the Skew Tent Map (STM). This scheme is specifically designed to overcome the inherent limitations of traditional Attribute-Based Access Control (ABAC) and Attribute-Based Encryption (ABE) schemes when deployed in dynamic cloud environments. The methodology involves constructing a multi-authority ABAC model, generating verifiable attribute tokens using chaotic sequences, applying LSSS-based policy encryption, and evaluating performance through rigorous formal analysis and experimental benchmarking. The results demonstrate that STM-ABAC reduces the computational overhead during decryption by up to 60% and maintains lower initialization and key-generation costs compared to existing CP-ABE and MA-ABE schemes. Furthermore, security proofs confirm strong resistance to chosen-attribute and chosen-nonce attacks.

Omessead BenMbarak, Anis Naanaa and Sadok ElAsmi. “A Novel Access Control Model with the Skew Tent Map for Decision Making (STM-ABAC)”. International Journal of Advanced Computer Science and Applications (IJACSA) 16.11 (2025). http://dx.doi.org/10.14569/IJACSA.2025.01611101

@article{BenMbarak2025,
title = {A Novel Access Control Model with the Skew Tent Map for Decision Making (STM-ABAC)},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2025.01611101},
url = {http://dx.doi.org/10.14569/IJACSA.2025.01611101},
year = {2025},
publisher = {The Science and Information Organization},
volume = {16},
number = {11},
author = {Omessead BenMbarak and Anis Naanaa and Sadok ElAsmi}
}