Robot-Based Security Management System for Smart Cities Using Machine Learning Techniques

Recently, smart cities are developing more slowly, gathering plenty of data and communication skills to improve service worth. Despite the smart city concept offerings many beneficial services, security management is still a significant problem because of shared threats and activities. The security aspects of smart cities should be constantly assessed to remove the unnecessary events employed to improve the superiority of the facilities to solve the issues. This study shows how robots are used in the smart city to manage privacy-related problems and actively learn how to forecast the superiority of facilities. Today, smart city development depends heavily on advancing technologies like the Internet of Things (IoT), Artificial Intelligence (AI), Blockchain, and Geospatial Technology. Machine learning, a branch of artificial intelligence, excels in security management systems. The proposed model may overwhelm the security challenges and presents how to keep and obtain their necessary robot-based security solutions by providing maintaining security services.