Abstract

The fifth generation (5G) of mobile networks represents a major advancement over previous wireless technologies to deliver ultra-fast data transmission, low latency, and massive connectivity. 5G technologies provide a highly reliable, scalable, and flexible communication for modern social media applications. 5G allows users to stream high-definition videos, live broadcasts, and interactive content with lesser buffering. Moreover, due to massive connectivity of users and devices interact simultaneously in social media platforms, latency and high reliability also major concern. 5G networks incorporate advanced technologies to ensure high Quality of Service (QoS) for social media streaming. Many researchers carried out their research on secured data transmission in 5G network. But the data confidentiality rate has not been significantly improved, and end-to-end delay has not been reduced. To enhance the QoS-Aware Reliable and Scalable data Transmission in 5G Network, a new method named Discriminative AI Transient Quantum Signcryption Cryptography (DAITQ- SigCrypt) method is introduced. The designed DAITQ- SigCrypt method simultaneously achieves both security and QoS aware data transmission in social media streaming data transmission. The discriminative AI model is a used for analyzing the each device’s resources such as bandwidth, signal strength and SINR. Next, identifies resource-efficient devices to achieve the QoS optimized data transmission. During the data transmission, reliability is achieved using Transient Quantum Signcryption Cryptography to deliver data accurately and securely, ensuring that information reaches the authorized receiver without loss, corruption, or unauthorized access. By this way, DAITQ- SigCrypt method achieved Reliable and QoS optimized data transmission. Experimental evaluation of proposed DAITQ- SigCrypt method is carried out with respect to the different performance metrics such as data delivery rate, data loss rate, throughput, latency, jitter, confidentiality rate, integrity rat with respect to number of streaming data samples. Quantitative results reveal that DAITQ- SigCrypt method significantly enhances streaming data communication in 5G networks, achieving higher throughput, data delivery, confidentiality and integrity with lower latency, jitter and packet loss compared to existing methods.

Authors

N. Suresh¹, P. Kanmani²
Mahendra Arts and Science College, India¹, Thiruvalluvar Government Arts College, India²

Keywords

5G Network, Social Media Streaming Data, QoS, Reliability, Discriminative AI, Transient Quantum Signcryption Cryptography