Jehad Ali , Sushil Kumar Singh , Weiwei Jiang , Abdulmajeed M. Alenezi , Muhammad Islam , Yousef Ibrahim Daradkeh , Asif Mehmood
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引用次数: 0
Abstract
The integration of the Internet of Things (IoT) and artificial intelligence (AI) in urban infrastructure, powered by advanced information communication technologies (ICT), has paved the way for smart cities. While these technologies promise enhanced quality of life, economic growth, and improved public services, they also introduce significant cybersecurity challenges. This article comprehensively examines the complex factors in securing AI-driven IoT-enabled smart cities within the framework of future communication networks. Our research addresses critical questions about the evolving threat, multi-layered security approaches, the role of AI in enhancing cybersecurity, and necessary policy frameworks. We conduct an in-depth analysis of cybersecurity solutions across service, application, network, and physical layers, evaluating their effectiveness and integration potential with existing systems. The study offers a detailed examination of AI-driven security approaches, particularly ML and DL techniques, assessing their applicability and limitations in smart city environments. We incorporate real-world case studies to illustrate successful strategies and show areas requiring further research, especially considering emerging communication technologies. Our findings contribute to the field by providing a multi-layered classification of cybersecurity solutions, assessing AI-driven security approaches, and exploring future research directions. Additionally, we investigate the essential role played by policy and regulatory frameworks in safeguarding smart city security. Based on our analysis, we offer recommendations for technical implementations and policy development, aiming to create a holistic approach that balances technological advancements with robust security measures. This study also provides valuable insights for scholars, professionals, and policymakers, offering a comprehensive perspective on the cybersecurity challenges and solutions for AI-driven IoT-enabled smart cities in advanced communication networks.
在先进信息通信技术(ICT)的推动下,物联网(IoT)和人工智能(AI)在城市基础设施中的融合为智慧城市铺平了道路。虽然这些技术有望提高生活质量、促进经济增长和改善公共服务,但它们也带来了重大的网络安全挑战。本文全面探讨了在未来通信网络框架内确保人工智能驱动的物联网智能城市安全的复杂因素。我们的研究涉及不断演变的威胁、多层次安全方法、人工智能在加强网络安全方面的作用以及必要的政策框架等关键问题。我们对服务、应用、网络和物理层的网络安全解决方案进行了深入分析,评估了它们的有效性以及与现有系统集成的潜力。本研究详细考察了人工智能驱动的安全方法,特别是 ML 和 DL 技术,评估了它们在智慧城市环境中的适用性和局限性。我们结合现实世界的案例研究来说明成功的策略,并指出需要进一步研究的领域,特别是考虑到新兴的通信技术。我们的研究结果提供了网络安全解决方案的多层分类,评估了人工智能驱动的安全方法,并探索了未来的研究方向,从而为该领域做出了贡献。此外,我们还研究了政策和监管框架在保障智慧城市安全方面发挥的重要作用。基于我们的分析,我们为技术实施和政策制定提出了建议,旨在创建一种平衡技术进步和健全安全措施的整体方法。本研究还为学者、专业人士和政策制定者提供了宝贵的见解,为先进通信网络中人工智能驱动的物联网智能城市的网络安全挑战和解决方案提供了全面的视角。
期刊介绍:
Computer and Communications networks are key infrastructures of the information society with high socio-economic value as they contribute to the correct operations of many critical services (from healthcare to finance and transportation). Internet is the core of today''s computer-communication infrastructures. This has transformed the Internet, from a robust network for data transfer between computers, to a global, content-rich, communication and information system where contents are increasingly generated by the users, and distributed according to human social relations. Next-generation network technologies, architectures and protocols are therefore required to overcome the limitations of the legacy Internet and add new capabilities and services. The future Internet should be ubiquitous, secure, resilient, and closer to human communication paradigms.
Computer Communications is a peer-reviewed international journal that publishes high-quality scientific articles (both theory and practice) and survey papers covering all aspects of future computer communication networks (on all layers, except the physical layer), with a special attention to the evolution of the Internet architecture, protocols, services, and applications.