SECRET IMAGE SHARING AND IDENTIFYING FAKE IMAGE USING BLOCK CHAIN

Abstract

The detection of fraudulent images and the attribution of image sources has become a hot topic of debate in both the news industry and social media. Anyone may quickly create or edit digital content in the age of digitalization, and they can then simply broadcast it on social media networks. The use of these social networking sites has created new difficulties for practical application, such as the viral transmission of incorrect or misleading material with harmful intentions. On the one hand, they greatly facilitate modern communication. A currently very emerging technology for data sharing and application is block chain. By using data encryption, timestamps, and distributed consensus, it is possible to exchange decentralised information in distributed systems without relying on one another, which increases the effectiveness of data sharing and application. The massive data remote sensing image system can fully exploit this technology, and the multi-system shared node storage system can be controlled effectively and uniformly to increase the system's economic efficiency. This study suggests important research technologies, builds the shared architecture based on block chain technology, and offers a theoretical framework for non-engineering practise.