Development of a cloud-assisted classification technique for the preservation of secure data storage in smart cities

Abstract

Cloud computing is the most recent smart city advancement, made possible by the increasing volume of heterogeneous data produced by apps. More storage capacity and processing power are required to process this volume of data. Data analytics is used to examine various datasets, both structured and unstructured. Nonetheless, as the complexity of data in the healthcare and biomedical communities grows, obtaining more precise results from analyses of medical datasets presents a number of challenges. In the cloud environment, big data is abundant, necessitating proper classification that can be effectively divided using machine language. Machine learning is used to investigate algorithms for learning and data prediction. The Cleveland database is frequently used by machine learning researchers. Among the performance metrics used to compare the proposed and existing methodologies are execution time, defect detection rate, and accuracy. In this study, two supervised learning-based classifiers, SVM and Novel KNN, were proposed and used to analyses data from a benchmark database obtained from the UCI repository. Initially, intrusions were detected using the SVM classification method. The proposed study demonstrated how the novel KNN used for distance capacity outperformed previous studies. The accuracy of the results of both approaches is evaluated. The results show that the intrusion detection system (IDS) with a 98.98% accuracy rate produces the best results when using the suggested system.

Intelligent urbanism with artificial intelligence in shaping tomorrow’s smart cities: current developments, trends, and future directions

“…However, in the in-depth construction of smart cities and the huge changes in the information environment, the city has gradually formed an irreversible dependence on the carrier carrying a large amount of data and information [53]. Safety issues and security risks have emerged, and information security issues have gradually risen from a very small influence to the perspective of national security strategy [54,55]. Information security issues have penetrated everyone's daily life.…”