Sports stadiums have a substantial influence on the environmental, urban, and social context. Information and communication technology applications in the international sports stadium increasingly use modern venues and facilities, containing the command and control system, intelligent application of sports facilities, television systems, ticket access control systems, communication systems for event management, contest information systems, etc. There is a high demand for advanced stadium security systems because of the large number of sporting events organized. Hence, in this study, an Artificial intelligence assisted Cyber-Physical System (AI-CPS) has been proposed for security in the network to predict cyber attacks and adversaries. The data has been collected and analyzed, and the proposed AI-CPS model predicts anomaly behaviour in the network. This study deals with the subject of how surveillance and security practices at sports events are organized. Advances in Artificial Intelligence (AI) techniques show potential in enabling cybersecurity authorities to counter the ever-evolving attack posed by an adversary. Here, this paper explores AI’s potential in enhancing cybersecurity resolutions by determining both its strengths and weaknesses. The numerical results show that the suggested AI-CPS model improves an accuracy ratio of 95.6%, a prediction ratio of 97.6%, packet loss of 12.3%, delay ratio of 15.1%, and latency ratio of 11.2% to other existing methods.

体育馆对环境，城市和社会环境具有重大影响。国际体育馆中的信息和通信技术应用越来越多地使用现代化的场馆和设施，包括指挥和控制系统，体育设施的智能应用，电视系统，票务访问控制系统，用于事件管理的通信系统，比赛信息系统等。由于组织了许多体育赛事，因此对先进的体育场馆安全系统有很高的要求。因此，在这项研究中，已经提出了一种人工智能辅助的网络物理系统（AI-CPS），用于预测网络攻击和对手的网络安全性。数据已被收集和分析，提出的AI-CPS模型可预测网络中的异常行为。这项研究的主题是如何组织体育赛事的监视和安全措施。人工智能（AI）技术的进步显示了使网络安全机构能够应对对手不断发展的攻击的潜力。在此，本文通过确定优点和缺点，探索了AI在增强网络安全解决方案方面的潜力。数值结果表明，所提出的AI-CPS模型与其他现有方法相比，其准确率提高了95.6％，预测率提高了97.6％，丢包率提高了12.3％，延迟率提高了15.1％，延迟率提高了11.2％。人工智能（AI）技术的进步显示了使网络安全机构能够应对对手不断发展的攻击的潜力。在此，本文通过确定优点和缺点，探索了AI在增强网络安全解决方案方面的潜力。数值结果表明，所提出的AI-CPS模型与其他现有方法相比，其准确率提高了95.6％，预测率提高了97.6％，丢包率提高了12.3％，延迟率提高了15.1％，延迟率提高了11.2％。人工智能（AI）技术的进步显示了使网络安全机构能够应对对手不断发展的攻击的潜力。在此，本文通过确定优点和缺点，探索了AI在增强网络安全解决方案方面的潜力。数值结果表明，所提出的AI-CPS模型与其他现有方法相比，其准确率提高了95.6％，预测率提高了97.6％，丢包率提高了12.3％，延迟率提高了15.1％，延迟率提高了11.2％。