Intrusion Detection System Fog Security Model for the Smart Cities and Urban Sensing
DOI:
https://doi.org/10.69996/jsihs.2023005Keywords:
Smart cities, internet of things (iot), intrusion detection system (ids), fog computing, securityAbstract
In smart cities, Intrusion Detection Systems (IDS) play a critical role in enhancing cybersecurity and safeguarding the interconnected network of devices and systems. Smart cities leverage various technologies, such as the Internet of Things (IoT), sensors, and communication networks, to optimize urban services and improve overall efficiency. However, this increased connectivity also introduces vulnerabilities that could be exploited by malicious actors. This paper presents a thorough exploration of contemporary developments in the domains of security and optimization within the context of smart cities. The rapid integration of Internet of Things (IoT) devices and technologies in urban environments necessitates robust security frameworks and efficient resource management strategies. The paper begins by scrutinizing Intrusion Detection Systems (IDS) tailored for smart city networks, evaluating their efficacy in mitigating diverse cyber threats. Novel approaches, such as Anomaly Detection and Firewall systems, are analyzed alongside traditional IDS, providing a comprehensive overview of the security landscape. In parallel, the paper introduces innovative clustering techniques, with a focus on the proposed Flora Optimization Weighted Clustering (FOWC) model. Inspired by biological growth mechanisms, FOWC presents a unique paradigm for optimizing sensor placements in smart cities. A comparative analysis with existing clustering algorithms like LEACH and Genetic Algorithm underscores FOWC’s superior performance in terms of Detection Rate, Precision, Recall, and F1 Score, positioning it as a promising solution for urban sensor network optimization. Beyond security and optimization, the paper addresses broader challenges in the realm of smart cities, including secure IoT applications, intrusion detection for IoT-enabled environments, and the integration of artificial intelligence for enhanced cyber defense. The research studies presented collectively contribute to a comprehensive understanding of the evolving landscape of smart cities, offering insights with practical implications for policymakers, urban planners, and technologists.
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