Secured 6G Communication for Consumer Electronics With Advanced Artificial Intelligence Algorithms

In this paper, advanced features of 6G networks by examining security of consumer electronic products are discussed. With rapid growth of consumer electronic products the network features are updated thus providing fast response to end users but security of transmission remains a major concern. Hence a collaborative framework is formulated in proposed method that solves all uncertainties in consumer electronic products if it is recommended to provide operation using 6G networks. The major significance of proposed method is to identify all problems that occurs in consumer electronic products that operated with advanced technological networks such as 6G and advanced 6G communications. Hence foremost importance is provided to identify all problems by using advanced artificial intelligence algorithm where electronic products can be identified by using natural language processors to convert machine language to identifiable ones thereby expert solutions are achieved. Here, a unique AI model known as Deep Adaptive Neuro Convoluted Chameleon Classifier (DANC3) is used for data classification, which aids in the identification and categorization of consumer data acquired from 6G networks.In each case, the objective functions are optimized with maximized security of data transmission for every consumer electronic product in 6G is reduced below 1%.