Towards a conceptual framework for AI-driven anomaly detection in smart city IoT networks for enhanced cybersecurity

IF 15.6 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge Pub Date : 2024-10-01 DOI:10.1016/j.jik.2024.100601

Heng Zeng , Manal Yunis , Ayman Khalil , Nawazish Mirza

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引用次数: 0

Abstract

As smart cities advance, Internet of Things (IoT) devices present cybersecurity challenges that call for innovative solutions. This paper presents a conceptual model for using AI-enabled anomaly detection systems to identify anomalies and security threats in smart city IoT networks. The foundation is supported by the Complex Adaptive Systems (CAS) theory, Technology Acceptance Model (TAM), and Theory of Planned Behavior (TPB). In this framework, the importance of user engagement in ensuring effective AI-driven cybersecurity solutions is underlined with an emphasis on technological readiness and human interaction with AI. By fostering a security-conscious culture through continuous education and skills development, this research provides actionable insights for enhancing the resilience of smart cities against evolving cyber threats. The proposed framework lays the groundwork for future empirical studies and offers practical guidance for policymakers and urban planners dedicated to safeguarding the digital infrastructures of potentially tomorrow's cities – the smart cities.

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在智慧城市物联网网络中建立人工智能驱动的异常检测概念框架，以加强网络安全

随着智慧城市的发展，物联网（IoT）设备带来了网络安全挑战，需要创新的解决方案。本文提出了一个使用人工智能异常检测系统识别智慧城市物联网网络中的异常和安全威胁的概念模型。该模型的基础是复杂适应系统（CAS）理论、技术接受模型（TAM）和计划行为理论（TPB）。在这一框架中，用户参与对确保有效的人工智能驱动网络安全解决方案的重要性得到了强调，重点是技术准备和人类与人工智能的互动。通过持续的教育和技能发展来培养具有安全意识的文化，这项研究为提高智慧城市应对不断变化的网络威胁的能力提供了可行的见解。所提出的框架为未来的实证研究奠定了基础，并为致力于保护未来城市--智慧城市--数字基础设施的政策制定者和城市规划者提供了实用指导。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Innovation & Knowledge Multiple-

CiteScore

16.10

自引率

12.70%

发文量

118

审稿时长

37 days

期刊介绍： The Journal of Innovation and Knowledge (JIK) explores how innovation drives knowledge creation and vice versa, emphasizing that not all innovation leads to knowledge, but enduring innovation across diverse fields fosters theory and knowledge. JIK invites papers on innovations enhancing or generating knowledge, covering innovation processes, structures, outcomes, and behaviors at various levels. Articles in JIK examine knowledge-related changes promoting innovation for societal best practices. JIK serves as a platform for high-quality studies undergoing double-blind peer review, ensuring global dissemination to scholars, practitioners, and policymakers who recognize innovation and knowledge as economic drivers. It publishes theoretical articles, empirical studies, case studies, reviews, and other content, addressing current trends and emerging topics in innovation and knowledge. The journal welcomes suggestions for special issues and encourages articles to showcase contextual differences and lessons for a broad audience. In essence, JIK is an interdisciplinary journal dedicated to advancing theoretical and practical innovations and knowledge across multiple fields, including Economics, Business and Management, Engineering, Science, and Education.