Volume 7 , Issue 2 , PP: 41-55, 2023 | Cite this article as | XML | Html | PDF | Full Length Article
Avita Jain Fuskele 1 *
Doi: https://doi.org/10.54216/IJWAC.070203
This study shows a cybersecurity design for Smart City infrastructures that is made up of five programs that work together. There are several tools that work together to make a dynamic and complete strategy. These are Continuous Threat Intelligence Feeds Integration (CTIFI), Machine Learning Anomaly Detection (MLAD), Vulnerability Scanning and Patch Management (VSPM), Network Segmentation and Access Control (NSAC), and Incident Response Planning (IRP). The framework's ablation study shows how important each method is, focusing on how they work together to solve important cybersecurity problems. Comparative tests show that the suggested method is better than others in terms of being able to be used on a larger scale, being accurate, and being cost-effective. For instance, waterfall, bullet, and funnel charts show patterns of scalability, while bar and line charts show signs of dynamic performance. The suggested framework is flexible enough to adapt to new cybersecurity threats thanks to its iterative and linked design. It provides a proactive and effective way to protect Smart City IoT environments.
algorithm , cybersecurity , framework , integration , IoT , machine learning , network segmentation , patch management , response planning, Smart City.
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