TY - JOUR
T1 - Securing Content Production Centers in 5G Broadcasting
T2 - Strategies and Technologies for Mitigating Cybersecurity Risks
AU - Liu, Yang
AU - Wang, Jie
AU - Cao, Ruohan
AU - Lu, Yueming
AU - Qiao, Yaojun
AU - Xia, Yuanqing
AU - Han, Daoqi
N1 - Publisher Copyright:
© 1963-12012 IEEE.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - 5G
KW - broadcast
KW - network security
KW - reinforcement learning
UR - http://www.scopus.com/inward/record.url?scp=85197034969&partnerID=8YFLogxK
U2 - 10.1109/TBC.2024.3407596
DO - 10.1109/TBC.2024.3407596
M3 - Article
AN - SCOPUS:85197034969
SN - 0018-9316
VL - 70
SP - 1008
EP - 1017
JO - IEEE Transactions on Broadcasting
JF - IEEE Transactions on Broadcasting
IS - 3
ER -