Article: Secure sensing and computing techniques based on fuzzy in 5G Journal: International Journal of Electronic Security and Digital Forensics (IJESDF) 2025 Vol.17 No.3 pp.379 - 390 Abstract: The new technology that is employed in 5G applications presents potential security vulnerabilities. In this study, the security needs for 5G applications are analysed, and hierarchical solutions for securing 5G apps are presented for various stakeholders. This study analyses the process of vulnerability assessment in 5G networks and offers an optimised dynamic technique for precisely analysing the vulnerabilities that exist in 5G networks. Specifically, the research focuses on how 5G networks may be attacked. Combining fuzzy numbers with the method for order of preference by similarity to the ideal solution (TOPSIS) is what this approach does. The proposed technique considers both static and dynamic aspects of the 5G network, such as latency and accessibility, to discover the possible attack graph pathways along which an attack may spread across the network. In addition, we compare the enhanced technique to both the classic TOPSIS and the widely used susceptibility scanning application known as Nessus. Inderscience Publishers - linking academia, business and industry through research

Title: Secure sensing and computing techniques based on fuzzy in 5G

Authors: Ramesh Balasubramani; Kumarganesh Sengottaiyan; Thillaikkarasi Rangasamy; Susaritha Muthusamy; Elango Sellamuthu; Mahaboob Basha Shaik

Addresses: Department of ECE, Annapoorana Engineering College, Salem, Tamil Nadu, India ' Department of ECE, Knowledge Institute of Technology, Salem, Tamil Nadu, India ' Department of ECE, Salem College of Engineering and Technology Salem, Tamil Nadu, India ' Department of ECE, Sona College of Technology, Salem, Tamil Nadu, India ' Department of CSE, Madanapalle Institute of Technology and Science, Annamayya, Andhra Pradesh, India ' Department of CSE, School of Technology, GITAM (Deemed to be University), Rudraram, Telangana, Hyderabad, India

Abstract: The new technology that is employed in 5G applications presents potential security vulnerabilities. In this study, the security needs for 5G applications are analysed, and hierarchical solutions for securing 5G apps are presented for various stakeholders. This study analyses the process of vulnerability assessment in 5G networks and offers an optimised dynamic technique for precisely analysing the vulnerabilities that exist in 5G networks. Specifically, the research focuses on how 5G networks may be attacked. Combining fuzzy numbers with the method for order of preference by similarity to the ideal solution (TOPSIS) is what this approach does. The proposed technique considers both static and dynamic aspects of the 5G network, such as latency and accessibility, to discover the possible attack graph pathways along which an attack may spread across the network. In addition, we compare the enhanced technique to both the classic TOPSIS and the widely used susceptibility scanning application known as Nessus.

Keywords: fuzzy; security; 5G; encryption algorithms; internet of things; IoT; 5G heterogeneous networks.

DOI: 10.1504/IJESDF.2025.145883

International Journal of Electronic Security and Digital Forensics, 2025 Vol.17 No.3, pp.379 - 390

Received: 30 Jun 2023
Accepted: 04 Sep 2023
Published online: 30 Apr 2025 *

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Title: Secure sensing and computing techniques based on fuzzy in 5G

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