The Internet of Things, or IoT, has been rapidly developing in recent years as a crucial component of the Internet of the future. IoT devices improve people's lives, but they also create and collect vast amounts of data that may be used for a variety of purposes by machine learning and big data analytics. Data security and privacy are critical concerns that must be addressed to prevent various cyberattacks (such as impersonation and data pollution/poisoning assaults) because of the machine-to-machine (M2M) communication nature of the Internet of Things. However, creating adaptable and lightweight IoT security solutions is a difficult task given the limited processing power and variety of IoT devices. In this research, we offer an IoT message authentication technique that is secure, private-preserving, and efficient. Our technique is more flexible and effective than the previous alternatives since it supports IoT devices with various cryptographic setups and enables for offline/online computing.

The Internet of Things, or IoT, has been rapidly developing in recent years as a crucial component of the Internet of the future.