An Intelligent Security Authentication Model for Smart City Framework

Information security systems include identity and access management (IAM) systems, which are often composed of pre-programmed operations. The most crucial stage is the authentication procedure, which verifies users' identities for service providers working with another IAM. This analysis demonstrated that it was not possible to find and use an authentication that met each of these important requirements. Users must be given unique identities and roles in order to access the necessary operating systems, database platforms, and applications in order to operate today's diverse and complex IT systems. People have a lot of passwords to remember, thus IT must constantly support and help users across all platforms. One critical issue that needs to be addressed in the developing Intelligent Transport Systems (ITS) is security in vehicle sensor networks (VSNs).Users divulge private information that hackers might use against them. Black holes, wormholes, viruses, physical and electrical disruptions, and spam are examples of common hazards. These VSN attacks may cause fatal auto accidents as well as invasions of privacy. With an emphasis on security, we provide an overview of the VSN idea within the framework of a smart city paradigm based on vehicular IoT. We also talk about the stability and robustness of the VSN design components. We also talk about security issues with pertinent communication technology. The Internet of Vehicles (IoV) has become a focal point for researchers due to the rise of smart city networks and increased vehicle utilization. However, maintaining this kind of network is one of the hardest and most difficult jobs that exists today. On the other hand, it has a number of noteworthy drawbacks, including an excessively intricate algorithm design, slower processing speeds, less maintenance needs, and insufficient authenticity verification. Next, we suggest a thorough authentication technique based on machine learning to detect phony multimedia devices. The suggested method can accomplish lightweight authentication while preserving wireless multimedia sensor privacy, according to experimental research. The authentication method offered by artificial intelligence enhances multimedia networks' overall security, as demonstrated by performance results.