An authenticated key agreement method for secure big data analytics in next-generation wireless networks-enabled smart farming

It is anticipated that next-generation wireless networks will be exceedingly complicated and dynamic. Applications like autonomous vehicles, smart farming, smart healthcare systems and more are all possible uses for them. Smart farming is a form of agricultural management that makes use of contemporary information and communication technologies (ICTs) in order to improve both the amount and quality of the products that are produced. Next-generation wireless networks facilitate smart farming. The primary goals of smart farming are to supply the agricultural industry with the infrastructure that is required to track, monitor, automate, and analyze processes utilizing cutting-edge techniques such as machine learning, big data, cloud computing, and the Internet of Things (IoT). These are some of the technologies that are being utilized in smart farming. Smart farming employs techniques to create varied forecasts. From a descriptive dashboard, such as a mobile app or Web app, the farmers can keep an eye on their crops and make selections based on their findings. However, such a system may be vulnerable to various cyber threats and attacks as the devices and servers exchange their data through an insecure medium (i.e., the Internet). In this study, we present an authenticated key agreement technique for secure big data analytics in next-generation wireless networks-enabled smart farming (in short, AKM-BDSF) to protect the transferred and stored data of smart farming. The detailed security analysis and comparative study reveal that the proposed AKM-BDSF outperforms other existing schemes in terms of essential security and functionality elements. Moreover, AKM-BDSF is demonstrated practically to see the effects on its performance.