The revolution in AI and related technologies has significantly changed human life by increasing ease and efficiency in many real-world applications. Deep learning is a subset of AI that uses a speedy and efficient way to solve complex real-world problems in a variety of domains, like computer vision, natural language processing, data analytics, and so on. However, due to the widespread usage of deep learning, numerous contentious applications have been developed recently that threaten democratic systems. Deepfake is a growing problem with the rise of new AI technologies. It consists of altering the original content and then modifying content using AI to generate new contents which is a widespread problem that needs to be controlled. Deepfake is the root cause of fake news, fake audios, and fake videos on social media where images and videos of humans or altered news are indistinguishable from actual ones. Many researchers have recently addressed the difficulties and solutions associated with deepfake. The popular solutions have presented deepfake detection algorithms using deep learning algorithms, but still the problem prevail, and no solution is foolproof. Therefore, the focus of this research paper is to create a solution using blockchain and cryptography to make a strong protocol for content generation and sharing them over the various sites. In order to make secure transaction, all token-generating devices and verify its legitimacy before sharing it on any platform then embed tokenized media on sites. This paper presents methods for token generation and token authentication which will mitigate the problem of deepfake and prevent the internet from serving as a central repository for manipulated and uncorroborated content. Currently, there are no strict criteria for uploading media or for verifying its authenticity or alteration. Thus, this work suggests a fundamental architecture and a deepfake solution for verifying its authenticity or alteration of deepfake.