Secure sensing and computing techniques based on fuzzy in 5G
Ramesh Balasubramani, Kumarganesh Sengottaiyan, Thillaikkarasi Rangasamy, M. Susaritha, Elango Sellamuthu, Mahaboob Basha Shaik · International Journal of Electronic Security and Digital Forensics · 2025
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.