Abstract
This paper presents a comprehensive investigation into the crucial aspect of security within 5G broadcasting environments, with a particular focus on content production centers. It dives into the unique challenges and vulnerabilities associated with 5G technology, specifically within the context of broadcasting media. The study provides an up-to-date survey of the current landscape in 5G network security, emphasizing the specific requirements and risks specific to broadcasting. In response to these challenges, we propose a set of robust security strategies and technologies specifically tailored for these environments. Through rigorous simulations and compelling case studies, we demonstrate the efficacy of these strategies within a 5G broadcasting context. Ultimately, this paper aims to offer invaluable insights for broadcasters, policymakers, and technologists, enabling them to enhance the security and integrity of 5G broadcasting networks through informed decision-making and implementation of best practices.
| Original language | English |
|---|---|
| Pages (from-to) | 1008-1017 |
| Number of pages | 10 |
| Journal | IEEE Transactions on Broadcasting |
| Volume | 70 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2024 |
Keywords
- 5G
- broadcast
- network security
- reinforcement learning
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