Strategy for Reliable, Efficient and Secure IoT Using Artificial Intelligence.

The Internet of Things (IoT), one of the leading cutting-edge innovations, has become an economically attractive field of focus for the scientific community. It requires several system interconnections and device interactions with humans. In order to manage its data exchange and analysis, IoT needs a cloud computing environment; Artificial Intelligence (AI) is needed at the same time via the Internet and cloud-based network of networks. These interconnected IoT systems can interact and share information with each other using their respective identifiers and embedded sensors on each device. We live in the age of big data, and it has become very important to easily and reliably interpret the captured big data. However, while AI is currently playing a greater role in strengthening conventional safety, there are significant challenges to cloud security and IoT computer networking. There are many security concerns that cloud be a danger to the community. In comparison, several of the IoT systems installed on a public network that is wirelessly accessible are now under persistent cyber attack. The paper suggests a hybrid identification paradigm as a response strategy that utilizes Machine Learning (ML) and AI to mitigate and combat IoT cyberattacks both at the host and network levels in cloud computing environments. [ABSTRACT FROM AUTHOR]