Novel and Secure Framework for Secure Cryptography for Future IoT Applications

Machine learning that preserves privacy has a lot of advantages and applications: being able to train and predict on data while it is still encrypted unlocks the value of data that was previously inaccessible owing to privacy concerns. However, multiple technological domains, including encryption, machine learning, distributed systems, and high-performance computing, must come together to make this happen. Machine learning an application of AI provides a high-performance framework with an easy-to-use interface that abstracts away the majority of the underlying complexity, allowing users with only a basic understanding of machine learning algorithms and TensorFlow to apply state-of-the-art cryptographic techniques. In this research studies, a novel framework for secure cryptography is presented through which 100% security is achieved with the only limitation of high computation power which can be further overcome by deep learning technology. This technique is very important and highly secured and can be used in future IoT Application.