NRTAS: Non-redundant traffic authentication scheme for strengthening privacy in 5 G communication networks

Article type: Research Article

Authors: Pandiyan, S.^{; *} | Krishnamoorthy, D.

Affiliations: Department of ECE, Annamalai University, Chidambaram, Annamalai Nagar, Tamil Nadu, India

Correspondence: [*] Corresponding author. Sakthibalan Pandiyan. E-mail: [email protected].

Abstract: End-to-end authentication in 5G communication networks is a prominent requirement due to the growing application demands and autonomously shared user data. The lack of data-related attributes and the communicating platform serves as a challenging issue in securing the shared content. Besides, administering security for the generated data is less feasible due to un-traceability and handoff experienced in the network. A Non-Redundant Traffic Authentication Scheme (NRTAS) is presented and the main objective of this proposed work provide a reliable authentication based on classifying the traffic. A traffic classification model is developed to categorize the traffic generated by the user equipment. A tree-based process is employed for linear and discrete authentication to enhance network performances. To succeed high connectivity secure 5G communication and information sharing in a heterogeneous platform is presented. The effectiveness of proposed NRTAS-5G communication network approach is executed in Opportunistic network environment (ONE) simulator version: 1.2. The NRTAS achieves 8.09% less access time, reduces the traffic load by 13.69%, and improves the success ratio by 5.36% for 150 UEs (User Equipment’s).

Keywords: 5 G communication, data security, key generation, traffic classification, sequential authentication

DOI: 10.3233/JIFS-212750

Journal: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 3, pp. 3101-3114, 2022